{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a4f6516a",
   "metadata": {},
   "source": [
    "# Transcriptional Data Integration\n",
    "\n",
    "This notebook shows the progress of integrating single-nucleus transcriptomic data with AHBA data.\n",
    "\n",
    "### Introduction\n",
    "\n",
    "##### AHBA data\n",
    "\n",
    "- The [Allen Human Brain Atlas (AHBA)](http://human.brain-map.org) provides comprehensive, high-resolution transcriptional profiles across the adult human brain. The data was downloaded from the Allen Institute’s API and preprocessed using the [abagen package](https://abagen.readthedocs.io/en/stable/index.html).\n",
    "\n",
    "##### Human single-nucleus data\n",
    "\n",
    "- We used the [large-scale single-nucleus dataset](https://github.com/linnarsson-lab/adult-human-brain?tab=readme-ov-file) for the human brain provided by the Linnarsson laboratory.\n",
    "- This dataset includes single-nucleus transcriptomic data collected from multiple brain regions of four adult human donors.\n",
    "- We retained the data from donors (H19.30.001 and H19.30.002) for further analysis and conducted preprocessing with [scanpy](https://scanpy.readthedocs.io/en/stable).\n",
    "\n",
    "##### Mouse spatial transcriptomic data\n",
    "\n",
    "- Whole-brain spatial transcriptomic (ST) sequencing data from three adult male mice from [Ortiz et al.'s study](https://www.science.org/doi/full/10.1126/sciadv.abb3446)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2129973b-d045-4115-bbbe-a6de6f339c7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib.font_manager import FontProperties\n",
    "matplotlib.rcParams['axes.spines.right'] = False\n",
    "matplotlib.rcParams['axes.spines.top'] = False\n",
    "font_path ='../../tutorials/whitney-medium.otf' # path in TransBrain\n",
    "custom_font = FontProperties(fname=font_path)\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "import math\n",
    "import anndata\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7ded75c8-1c69-4e1e-a077-bdeb9376ff82",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append('../code/dintegrate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "34581955-911e-4d10-8f12-403de201ef39",
   "metadata": {},
   "outputs": [],
   "source": [
    "from utils import stable_gene_filter,calculate_thresholds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a34cb51e-4d39-4729-85be-067511050f6e",
   "metadata": {},
   "source": [
    "## Selection of Cross-Modality Stable Genes\n",
    "\n",
    "In this step, we filtered the shared stable gene space between the ​​AHBA, human single-nucleus data and ​mouse spatial transcriptomic data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "78b9ef48-3a5b-40fc-9265-1b94338295a7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "st_genes = list(pd.read_csv('./files/st_genes.csv')['genes'].values)\n",
    "sn_genes = list(pd.read_csv('./files/sn_genes.csv')['genes'].values)\n",
    "ahba_genes = list(pd.read_csv('./files/ahba_genes.csv')['genes'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "11930aa0-2b01-4c86-a9ef-5d337eb7300a",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_genes = list(set(st_genes) & set(sn_genes) & set(ahba_genes))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27fb7d49",
   "metadata": {},
   "source": [
    "common gene number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "28903727-0489-4502-96c0-b6c0d61f7021",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12732"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(common_genes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ca3d8001-c24d-4cc1-a4cb-2b15e76ba63b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "def draw_distribution(corr_, offset=0.008, ymax=0.95):\n",
    "    \n",
    "    median_thre = np.median(corr_)\n",
    "    fig, ax = plt.subplots(1, 1, figsize=(10, 4), gridspec_kw={'width_ratios': [2]}, dpi=600)\n",
    "    \n",
    "    # KDE plot\n",
    "    # sns.set_style(\"ticks\")\n",
    "\n",
    "    plt.rcParams['axes.edgecolor'] = 'black'\n",
    "    plt.rcParams['axes.linewidth'] = 2\n",
    "    \n",
    "    ax.grid(color='gray', linestyle='--', linewidth=1.5, alpha=0.5,zorder=-100)\n",
    "    kde = sns.kdeplot(corr_, label='Gene across region', color='gray', alpha=0.5, linewidth=3, ax=ax)\n",
    "    kde.set_zorder(1)  \n",
    "    \n",
    "    x, y = kde.lines[0].get_data()\n",
    "    idx = np.searchsorted(x, median_thre)\n",
    "\n",
    "    plt.fill_between(x[:idx+1], y[:idx+1], color='#cdedf6', alpha=1, zorder=1)\n",
    "    plt.fill_between(x[idx:], y[idx:], color='skyblue', alpha=1, zorder=1)\n",
    "    plt.axvline(x=median_thre+offset, color='gray', linestyle='--', ymin=0, ymax=ymax, linewidth=2, zorder=2)\n",
    "    \n",
    "    ax.spines['left'].set_linewidth(2) \n",
    "    ax.spines['bottom'].set_linewidth(2)\n",
    "    ax.spines['right'].set_visible(False)\n",
    "    ax.spines['top'].set_visible(False)\n",
    "    ax.xaxis.labelpad = 20\n",
    "    ax.yaxis.labelpad = 20\n",
    "    ax.set_xlim(-1,1)\n",
    "    ax.set_ylim(0,1.4)\n",
    "    ax.set_xticks([-0.75, 0.00, 0.75])\n",
    "    ax.set_yticks([0.2, 0.6, 1.0, 1.4])\n",
    "    ax.tick_params(axis='both', which='both', labelsize=20, width=2, length=5, color='black')\n",
    "\n",
    "    plt.xlabel(\"Value\", fontsize=18, fontproperties=custom_font)\n",
    "    plt.ylabel(\"Density\", fontsize=18, fontproperties=custom_font)\n",
    "    \n",
    "    plt.gca().set_axis_on()\n",
    "    plt.legend().set_visible(False)\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    return fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e6ef607-584f-41fc-993a-1452e164cdb1",
   "metadata": {},
   "source": [
    "### Selection of cortical stable genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "74560bed-dc76-42ca-b572-c05c2d241731",
   "metadata": {},
   "outputs": [],
   "source": [
    "h19_common_regions = pd.read_csv('./files/h19_common_regions.csv')['sn_roi'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "81354c67-f15e-4499-aa1e-472e70378f9f",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_sn_cortex_mean = pd.read_csv('../datasets/processeddata/human_ahba/ex_d_sample_sn_atlas_cortex_mean.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "70ce4161-7055-4217-875e-a91c75ace742",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_sn_cortex_mean.index = ['Human '+region.split(' - ')[-1] for region in ex_sn_cortex_mean.index.values]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "288ef2a4",
   "metadata": {},
   "source": [
    "Load the processed human single-nucleus data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "60c2a777-08dc-491c-917a-027a7ecdecaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data = pd.read_feather('../datasets/processeddata/human_sn/Human_sn_data_H19001_split_scaled.feather')\n",
    "H1901_data.set_index('index',inplace=True,drop=True)\n",
    "H1902_data = pd.read_feather('../datasets/processeddata/human_sn/Human_sn_data_H19002_split_scaled.feather')\n",
    "H1902_data.set_index('index',inplace=True,drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ae56a9f3-47b2-476b-93ad-3cdd0b60ec7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "cortex_filter_H1901 = H1901_data.index.str.contains('Cerebral cortex')\n",
    "cortex_filter_H1902 = H1902_data.index.str.contains('Cerebral cortex')\n",
    "H1901_data_cortex = H1901_data[cortex_filter_H1901]\n",
    "H1902_data_cortex = H1902_data[cortex_filter_H1902]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b97a3bee-652f-4922-aeee-05ce8220d7f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_cortex.index = ['Human '+region.split(' - ')[-1] for region in H1901_data_cortex.index.values]\n",
    "H1902_data_cortex.index = ['Human '+region.split(' - ')[-1] for region in H1902_data_cortex.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e1a75170-ba02-49a5-9e51-7150bba62962",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_regions_cortex = [i for i in set(H1901_data_cortex.index.values) if i in ex_sn_cortex_mean.index.values]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32bbda34",
   "metadata": {},
   "source": [
    "Use stable_gene_filter function to filter genes with consistent spatial patterns between AHBA and single-nucleus data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9c82a823-eca7-4e1b-aab8-b02b28ef537a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing genes...: 100%|██████████| 12732/12732 [00:04<00:00, 2860.39it/s]\n",
      "Processing genes...: 100%|██████████| 12732/12732 [00:04<00:00, 2638.27it/s]\n"
     ]
    }
   ],
   "source": [
    "H1901_cortical_stable_gene_scores = stable_gene_filter(ex_sn_cortex_mean, H1901_data_cortex, common_regions_cortex, common_genes)\n",
    "H1902_cortical_stable_gene_scores = stable_gene_filter(ex_sn_cortex_mean, H1902_data_cortex, common_regions_cortex, common_genes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1fe9d47e-7be7-42d4-8604-61cd7e72e9bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_thre_cortex = np.median(H1901_cortical_stable_gene_scores.values)\n",
    "H1902_thre_cortex = np.median(H1902_cortical_stable_gene_scores.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5578f1e",
   "metadata": {},
   "source": [
    "Visualize the spatial similarity distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "0f87226f-3a81-4011-87dc-5de98f86e89e",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = draw_distribution(H1901_cortical_stable_gene_scores.values,ymax=0.90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "64b35914-a797-43dd-9f9c-63e378c231b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('./fig/H1901_cortical_stable_gene_scores.png',dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "b05a27de-d097-46c4-b35a-2cde8206da94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = draw_distribution(H1902_cortical_stable_gene_scores.values,offset=0.008,ymax=0.95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "29197837-ae89-4614-8684-3eaa451846ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('./fig/H1902_cortical_stable_gene_scores.png',dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6e6584d9-4bcc-4cde-8c1d-9eea6704d8bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_stable_genes_cortex = H1901_cortical_stable_gene_scores[H1901_cortical_stable_gene_scores['correlation'] >= H1901_thre_cortex]\n",
    "H1902_stable_genes_cortex = H1902_cortical_stable_gene_scores[H1902_cortical_stable_gene_scores['correlation'] >= H1902_thre_cortex]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "61f03b2f-d61e-4b10-8b2d-efdc5298156b",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_stable_genes_cortex = pd.DataFrame([i for i in H1901_stable_genes_cortex.index.values if i in H1902_stable_genes_cortex.index.values],columns=['genes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b7bb6d60-7c53-441b-bee5-db87bc10e03c",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_stable_genes_cortex.to_csv('./files/common_stable_genes_cortex.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f926fc43-2ccd-4a69-8787-ee3e03f6ad7c",
   "metadata": {},
   "source": [
    "### Selection of subcortical stable genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "1f17a9c5-000e-4aaf-9f18-08cff0e0f001",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_sn_subcortex_mean = pd.read_csv('../datasets/processeddata/human_ahba/ex_d_sample_sn_atlas_subcortex_mean.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "6bec349c-8d0a-47fe-a2f1-99797b95bbfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_sn_subcortex_mean.index = ['Human '+region.split(' - ')[-1] for region in ex_sn_subcortex_mean.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "7696d8bf-2f8b-4cc6-aa99-b1f0941d9250",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_subcortex = H1901_data[~cortex_filter_H1901]\n",
    "H1902_data_subcortex = H1902_data[~cortex_filter_H1902]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "8c5ba0a0-887d-4b00-9960-b14c377ef06d",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_subcortex.index = ['Human '+region.split(' - ')[-1] for region in H1901_data_subcortex.index.values]\n",
    "H1902_data_subcortex.index = ['Human '+region.split(' - ')[-1] for region in H1902_data_subcortex.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "2e3b0ecf-a115-47fb-97b9-60c4918b1b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_regions_subcortex = [i for i in set(H1901_data_subcortex.index.values) if i in ex_sn_subcortex_mean.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "15c4e156-bcfb-45c3-9621-4e6482305d94",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing genes...: 100%|██████████| 12732/12732 [00:04<00:00, 2796.89it/s]\n",
      "Processing genes...: 100%|██████████| 12732/12732 [00:04<00:00, 2858.51it/s]\n"
     ]
    }
   ],
   "source": [
    "H1901_subcortical_stable_gene_scores = stable_gene_filter(ex_sn_subcortex_mean, H1901_data_subcortex, common_regions_subcortex,common_genes)\n",
    "H1902_subcortical_stable_gene_scores = stable_gene_filter(ex_sn_subcortex_mean, H1902_data_subcortex, common_regions_subcortex,common_genes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "827bc38e-9936-47d6-a4b8-33db56879848",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_thre_subcortex = np.median(H1901_subcortical_stable_gene_scores.values)\n",
    "H1902_thre_subcortex = np.median(H1902_subcortical_stable_gene_scores.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "0df48af7-300f-44ff-b70c-fd08a09d7534",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = draw_distribution(H1901_subcortical_stable_gene_scores.values,offset=0.008,ymax=0.985)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "07e8c96a-3fa1-415d-99d6-9b932a4e3e8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('./fig/H1901_subcortical_stable_gene_scores.png',dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "69228447-9c38-4df2-b902-1789c4a36624",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = draw_distribution(H1902_subcortical_stable_gene_scores.values,offset=0.008,ymax=0.94)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "17b41f14-c766-4cba-bfc7-7f321a06c9c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('./fig/H1902_subcortical_stable_gene_scores.png',dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "45ff998f-bc67-40e5-b7ab-de9535df23c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_stable_genes_subcortex = H1901_subcortical_stable_gene_scores[H1901_subcortical_stable_gene_scores['correlation'] >= H1901_thre_subcortex]\n",
    "H1902_stable_genes_subcortex = H1902_subcortical_stable_gene_scores[H1902_subcortical_stable_gene_scores['correlation'] >= H1902_thre_subcortex]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a4a18b2b-4c76-4dfc-a8eb-9c6970746c73",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_stable_genes_subcortex = pd.DataFrame([i for i in H1901_stable_genes_subcortex.index.values if i in H1902_stable_genes_subcortex.index.values],columns=['genes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "15932d00-ce44-449d-81d7-288d18eb0426",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_stable_genes_subcortex.to_csv('./files/common_stable_genes_subcortex.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0b665fd-8a65-466f-8089-e144024f0751",
   "metadata": {},
   "source": [
    "### Selection of all stable genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "eac18d7d-1c71-4b40-be09-7911c18b313d",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_all = pd.read_feather('../datasets/processeddata/human_sn/Human_sn_data_H19001_all_scaled.feather')\n",
    "H1901_data_all.set_index('index',inplace=True,drop=True)\n",
    "H1902_data_all = pd.read_feather('../datasets/processeddata/human_sn/Human_sn_data_H19002_all_scaled.feather')\n",
    "H1902_data_all.set_index('index',inplace=True,drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "de04f1d5-69c3-48d9-a50d-e75064dcbf30",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_sn_mean = pd.read_csv('../datasets/processeddata/human_ahba/ex_d_sample_sn_atlas_mean.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "8497a7a3-b46c-45a1-8873-00aa885a3ccd",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_sn_mean.index = ['Human '+region.split(' - ')[-1] for region in ex_sn_mean.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "01182a00-64a8-47c8-a658-1a328a930820",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_all.index = ['Human '+region.split(' - ')[-1] for region in H1901_data_all.index.values]\n",
    "H1902_data_all.index = ['Human '+region.split(' - ')[-1] for region in H1902_data_all.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "ee8ab214-0855-4de5-b57d-f785d6df0699",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_regions = [i for i in set(H1901_data_all.index.values) if i in ex_sn_mean.index.values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "eb3a1c60-8c2a-4035-a56b-a97dba1225d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing genes...: 100%|██████████| 12732/12732 [00:04<00:00, 2795.38it/s]\n",
      "Processing genes...: 100%|██████████| 12732/12732 [00:05<00:00, 2533.27it/s]\n"
     ]
    }
   ],
   "source": [
    "H1901_all_stable_gene_scores = stable_gene_filter(ex_sn_mean, H1901_data_all, common_regions, common_genes)\n",
    "H1902_all_stable_gene_scores = stable_gene_filter(ex_sn_mean, H1902_data_all, common_regions, common_genes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "68d3923d-409b-435c-bb0a-cfd41cd19217",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_thre_all = np.median(H1901_all_stable_gene_scores.values)\n",
    "H1902_thre_all = np.median(H1902_all_stable_gene_scores.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "735b0968-66f8-4915-9f56-b59a25b256cb",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = draw_distribution(H1901_all_stable_gene_scores.values,offset=0.004,ymax=0.90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "b1927881-c09e-4f24-883d-2b225d0e4869",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('./fig/H1901_all_stable_gene_scores.png',dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "e2df1c62-088b-44a6-ba93-eb4002a1d574",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = draw_distribution(H1902_all_stable_gene_scores.values,offset=0.003,ymax=0.835)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "b4c06f27-6c45-4d91-9ecf-539461bdcb66",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig('./fig/H1902_all_stable_gene_scores.png',dpi=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "e274b7da-75c2-4569-a361-2411873072a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_stable_genes_all = H1901_all_stable_gene_scores[H1901_all_stable_gene_scores['correlation'] >= H1901_thre_all]\n",
    "H1902_stable_genes_all = H1902_all_stable_gene_scores[H1902_all_stable_gene_scores['correlation'] >= H1902_thre_all]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "223e1b39-e259-45cd-95cd-c12e29952ec3",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_stable_genes_all = pd.DataFrame([i for i in H1901_stable_genes_all.index.values if i in H1902_stable_genes_all.index.values],columns=['genes'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "76e3a398-98f7-4d13-b975-b3db911cb107",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "common_stable_genes_all.to_csv('./files/common_stable_genes_all.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f35fd533-d3ca-4861-811c-42802402de03",
   "metadata": {},
   "source": [
    "## Determining Similarity Thresholds for Sample Pool Construction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1989290d-9e27-47fe-9955-d9e0276cd377",
   "metadata": {},
   "outputs": [],
   "source": [
    "align_csv = pd.read_csv('./files/sn_ahba_atlas_align.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9630e62e-2d80-4915-a2a6-a46dfd19c058",
   "metadata": {},
   "source": [
    "### Thresholds of cortex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "9b09e362-40dd-4aec-a28f-cc7c89b861b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_brain_cortex_mean = pd.read_csv('../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_cortex_mean.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "9c397200-9b7f-4b05-8dcf-103862b049e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_brain_cortex_mean = ex_brain_cortex_mean[common_stable_genes_cortex['genes'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "41929dad-f446-4a6c-a536-8631335ce23e",
   "metadata": {},
   "outputs": [],
   "source": [
    "cortex_filter_H1901 = H1901_data.index.str.contains('Cerebral cortex')\n",
    "cortex_filter_H1902 = H1902_data.index.str.contains('Cerebral cortex')\n",
    "H1901_data_cortex = H1901_data[cortex_filter_H1901]\n",
    "H1902_data_cortex = H1902_data[cortex_filter_H1902]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "099d1a29-c643-4c7b-ae47-b13ff57b8f5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_cortex = pd.concat([H1901_data_cortex,H1902_data_cortex])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "01d7a7dc-84d5-4cdc-845f-bb5068bdd3a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_cortex = H19_data_cortex[common_stable_genes_cortex['genes'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "225c1e24-4a2a-45c0-b1f9-0c2c57f3ca27",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_cortex.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ed5e6ca5-a195-41c9-809c-ece138e3c274",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_cortex.to_feather('../datasets/processeddata/human_sn/Human_sn_data_H19_cortex_scaled_common_gene.feather')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "e6911042-5c91-4794-abeb-bf22f019e978",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing regions...: 100%|██████████| 127/127 [35:19<00:00, 16.69s/it]\n"
     ]
    }
   ],
   "source": [
    "threshold_dict_cortex = calculate_thresholds(ex_brain_cortex_mean,H19_data_cortex,align_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "6bf53aa7-76fb-4ad0-a87d-dcebbaa207fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold_df_cortex = pd.DataFrame.from_dict(threshold_dict_cortex, orient='index', columns=['correlation', 'p_value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "8ceb7a76-54ab-4e78-a42f-5679e6107911",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold_df_cortex.to_csv('./files/threshold_df_cortex.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "03a71f87-d2a3-4509-bb1a-4b1b3204e75d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_thre_distribution(thre_df,bins = np.arange(-0.2, 0.64, 0.02)):\n",
    "    \n",
    "    data_groups = pd.cut(thre_df['correlation'],bins=bins,include_lowest=True)\n",
    "    grouped_counts = data_groups.value_counts(normalize=True)\n",
    "\n",
    "    fig, ax = plt.subplots(1,1,figsize=(15,6), gridspec_kw={'width_ratios': [2]},dpi=400)\n",
    "    sns.barplot(x=grouped_counts.index, y=grouped_counts.values,label='align similarity',alpha=0.5,color='skyblue')\n",
    "    plt.xticks(rotation=90)\n",
    "    ax.tick_params(labelsize=15)\n",
    "    ax.spines['left'].set_linewidth(1)   \n",
    "    ax.spines['bottom'].set_linewidth(1)\n",
    "    ax.xaxis.labelpad = 20\n",
    "    ax.yaxis.labelpad = 20\n",
    "    plt.xlabel(\"Value\",fontsize=18,fontproperties=custom_font)\n",
    "    plt.ylabel(\"Frequency\",fontsize=18,fontproperties=custom_font)\n",
    "    ax.legend(prop=FontProperties(fname=font_path,size=15))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "11d52717-fb4c-44ad-a9cf-8cb21867eaef",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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oY9hBdPMPC6ns540coxsZmi/WM/zoo490zjnnBH0MArf5fD75fD716dNHw4cP15AhQ9ShQ4eI1lpSUqLvvvtOM2bM0JtvvqnNmzdLqvhEhL9ev06dOumHH35QvXr1IlpvpJAhokms91QbkKH5yNB7DCT0nuM4uvbaa/XKK69U+cu6UP/er675/elPf9L06dMr1JCYmKjff/9daWlpNb5NEziOo3PPPVezZs2q1gsW/Ne1adNG/fv3V58+fdS7d28dffTRSkxMdL2+7OxsLVmyRIsXL9bnn3+ur7/+Wvv27QtZV+B2/8/D22+/raFDh7peW7QgQ/ORodm+/vpr3XjjjVqxYkW1XoQiHXx8kpOTNWDAAJ155pnq16+fevToEbnCg8jOztb8+fM1f/58ffTRR8rMzJRU+QtOArc5jqOkpCTdeuutuvfee9WgQYPIFV8HZGh+hoHoqeYjQzuQo7lYF81fF8nQ/AwD0U/NR4Z2IEdzsS6avy6SofkZBqKfmo8M7UCO5mJdtGNdJEc7cpTopzYgQzuQo7lYE+1YE8nRjhwl+qkNyNAO5Ggu1kQ71kRytCPHsHAAAEDUKikpce68804nISHBiYuLc3w+n+Pz+Zy4uLhqX/z/xv/vTj75ZGfJkiUR24cXX3yx9L7Lf0R0q+pnjRyjHxmajwwd55577imzfpRf10Ktj507d3auuuoq5z//+Y/z+eefO5s3b3atpv379zurV6923n33Xef+++93hgwZ4jRq1Cjk2husRp/P5zRs2NBZuXKla3VFKzJEtKCnmo8MzUeG3uMc3Xs33HBDtY6Fyh83BbvUNb9Zs2aF/Hl47733XN7z6PHkk08GffyD5dKyZUvnjjvucJYtW+ZZvfn5+c6MGTOcCy+80ElMTAxZe+C2tLQ0Z8uWLZ7VHG5kaD4yNF9xcbHzn//8x2nWrFnINayy31P4L02bNnWGDh3qPPbYY87s2bOdX3/9NWw15+fnO4sWLXKmTJnijBkzxunevXu1agz1nIDP53POOeccZ+3atWGrOZzI0PwM/eip5iNDO5Cj2VgXzV8XydD8DP3op+YjQzuQo9lYF81fF8nQ/Az96KfmI0M7kKPZWBftWBfJ0Y4c6afmI0M7kKPZWBPtWBPJ0Y4c6afmI0M7kKPZWBPtWBPJ0Y4c3eZznHLjYQEAQFTYv3+/LrroIs2aNavChGWp4oT3YEJ9f0JCgu6++27dd999io+Pd7HqiiZPnqyRI0fK5/OVTsP2fywuLg7rfaNu4uLiSvMqjxzNQIbmI8MD69ell16q6dOnB32Xk8rWxsDrpAPvuNCqVSu1bNlSzZs3V1pamho2bKiUlBQlJCQoISFB8fHxKioqUlFRkQoKCrR7927l5eUpNzdX27ZtU1ZWlrKysircV3Vq8pV7p4QZM2Zo8ODBtX1ojEGGiBb0VPORofnI0Huco3vrhRde0PXXX1/pMZE/j5NPPln9+vVT37591aFDBzVt2lQzZszQ6NGjXcuvqKhIzZs3186dO0u3+W/vz3/+s55++uk67nH02bJli7p27ao9e/ZICp1B27Zt9fe//12XXXaZkpKSPKk1mF9++UWPPvqonnvuudLMy++DP8OLLrpI06ZN86rUsCFD85GhXXbt2qXHH39cTz31lHbt2lXpO0eW3+5X/vqmTZuqe/fuSk9PV5s2bUovrVq1UmpqqurXr196iY+PV35+vvbt21d62b59u7Zs2aLNmzdry5Yt+uWXX7R69Wpt2LBBJSUl1a4j1M+mJPXt21fjx49Xnz59avR4RSMyNDtDeqr5yNAO5GgP1kWz10WJDE3PkH5qPjK0Aznag3XR7HVRIkPTM6Sfmo8M7UCO9mBdNHtd9CNHc3Okn5qPDO1AjvZgTTR3TQxEjubmSD81HxnagRztwZpo7poYiBztyNE1DgAAiDoFBQXOoEGDQk5Yrs0l2NTmE044wdm0aVNY9+XFF18svb/yHxHdAvMK9vNEjtGPDM1HhgeUlJQ41157bbXe7STUuxhU9b3VuVRnna3Ou7E0aNDAmT17ttcPa0SRIaIBPdV8ZGg+MvQe5+je2bRpk5OamlrpO4UlJCQ4V1xxhbNy5cqgtxGO/C6++OIKdfh8Pqdr1661vs1oNmbMmKC9KHDfb7nlFmfv3r1el1qpVatWOT179gy5L/6PXr4DZLiQofnI0E7Z2dnO2LFjnfr16wddV2p67l/b8/6aPh9Q2fcF23788cc7n376qdcPd1iQoZnoqeYjQzuQo31YF81Hhmain5qPDO1AjvZhXTQfGZqJfmo+MrQDOdqHddEO5Gge+qn5yNAO5Ggf1kQ7kKN56KfmI0M7kKN9WBPtQI5wHMdhICEAAFHo+uuvr/QArToHYFUdTPm/btKkiTNr1qyw7QvDDswV7OQ32EkwohcZmo8My/r3v//tJCcn1+rJg+r8m+pc6rr2HnHEEc4PP/zg9UPpGTKEl+ip5iND85Gh9zhH987QoUMr/B8IPMZo3bq18+WXX1Z6G+HI74UXXgh5m1lZWbW+3WiUm5tbYShk4OfJycnOW2+95XWZ1bZ//37nkksuCfpz5f949dVXe12mq8jQfGRov23btjl3332306xZs6Dn4NU9R6/LeX9Nnguo6nv92wYOHBgzb0xAhuagp5qPDO1AjnZjXTQfGZqDfmo+MrQDOdqNddF8ZGgO+qn5yNAO5Gg31kU7kKMZ6KfmI0M7kKPdWBPtQI5moJ+ajwztQI52Y020AznGNgYSAgAQZaZPn17hxKk6Bz+VHUhV9e/j4+Od//znP2HZH4YdmKuyg3JyNAMZmo8MK1q0aJHTq1evaq2H1X2ioTaXmtyXz+dzEhISnDFjxji7d+/2+iH0HBnCK/RU85Gh+cjQe5yje+OHH34I+rPu/3jMMcc4v/32W5W3E478Vq1aFfI258yZU+vbjUYvvfRSmX0sv7/vvPOO1yXWWHFxsXPuuedW2Bf/5ykpKU5+fr7XZbqGDM1HhrFj7969zjPPPOMcccQR1f69RTjO/Wtzn/5t9erVc6699lpn5cqVXj+cniDD6EdPNR8Z2oEcYwProvnIMPrRT81HhnYgx9jAumg+Mox+9FPzkaEdyDE2sC7agRyjG/3UfGRoB3KMDayJdiDH6EY/NR8Z2oEcYwNroh3IMTYxkBAAgCiSm5vrtGzZMuSBUPntCQkJTo8ePZyBAwc6l112mTN06FCnd+/eTr169So9aAp2e3Fxcc59993n+j4x7MBcoQ7Ey/8MIXqRofnIMLiSkhLnueeec9q1a1fjJzDCeQlVw8CBA53ly5d7/bBFFTKEF+ip5iND85Gh9zhH98aIESMqPN7+z9u0aeNs3ry5WrcTjvxKSkrKvLtg4G1OnDix1rcbjYYNGxby8bvpppu8Lq/Wdu7c6bRt27ZCfv6PH3/8sdcluoYMzUeGsenTTz91Lr30UiclJSVqngOo7IUpxx57rPPkk09Wa1hwrCDD6ERPNR8Z2oEcYw/rovnIMDrRT81HhnYgx9jDumg+MoxO9FPzkaEdyDH2sC7agRyjD/3UfGRoB3KMPayJdiDH6EM/NR8Z2oEcYw9roh3IMXb4HMdxBAAAosI999yjf/7zn/L5fCq/RPt8PkmS4zjq2bOnbr31Vg0aNEhNmjSpcDuFhYWaO3euXnvtNb311lsqKCgo8+9D3a7P59ONN96oCRMmuLZPkydP1siRI0v3KfBjcXGxa/cD9/33v/+t1vddddVVYa4EtUWG5iPDyhUVFem1117T008/rSVLlpRu969tgcJx6lvZ/dSrV08XXHCBxo4dq549e7p+37YgQ0QSPdV8ZGg+MvQe5+iRV1hYqBYtWmjnzp2SVOFxnzt3rvr161et2wpXfr1799aSJUsqPEf05z//WU8//XStbzfaNGvWTDt27CizzXEcNWrUSBkZGTrkkEM8qqzuKvvZuP322/XII494XaIryNB8ZBjb9uzZo7feektTp07VF198Ubp2BTs3l9x9HqCq5xnatGmj4cOH68orr1T37t1du1/bkGF0oaeajwztQI6xi3XRfGQYXein5iNDO5Bj7GJdNB8ZRhf6qfnI0A7kGLtYF+1AjtGDfmo+MrQDOcYu1kQ7kGP0oJ+ajwztQI6xizXRDuRoPwYSAgAQJfLy8tS+fXvt2rVL0sEDn8A/Bk9JSdHTTz+tq666KuQBWXnbtm3TAw88oJdeekklJSWl2wMPAcr/wfkVV1yhKVOmVPs+KsOwAwBAJPz444+aOnWqZs6cqZUrVwZd58Ih8H4aNGigvn376qKLLtKwYcOUlpYWtvu1ERkCABB+nKNH3ueff64zzzwz6GN+1lln6aOPPqr2bYUrvz/96U+aPn16heeH+vfvr9mzZ9f6dqNJVlaWWrVqFfSxu/766/XMM894XWKd5Ofnq2XLlqXPK0oHcxw8eLBmzpzpYXXuIEMyjHaxkKGbcnNz9emnn+rjjz/W7NmztW3btjLXh+N5gMDz/4SEBPXp00eDBg3SoEGD1KNHD9fvz3Zk6C16qvk9lQzNz1AiR1tydAProvnI0Fv0U/P7KRman6FEjrbk6AbWRfORobfop+b3UzI0P0OJHG3J0Q2si3YgR+/QT83vp2RofoYSOdqSoxtYE+1Ajt6hn5rfT8nQ/AwlcrQlRzewJtqBHO2U4HUBAADggDfeeEN5eXmlJ05S2UGBLVq00IcffqjjjjuuRrfbsmVLPffcc/rzn/+sq6++WsuXL5fP5ytzP4H35ziOXn31Ve3Zs0dvvPGGEhI4XAAARL8jjzxS48aN07hx4/T7779r7ty5WrhwoZYsWaJly5YpLy/P9fvs0KGDevXqpV69eunUU09Vnz59lJiY6Pr9xAoyBAAANvrqq69CXnf33XdHsJLQWrduXWGb4zj67bffPKgmPNatWxfyuiFDhkSwkvCoV6+ezjjjDL333nulzyf6n+erbN9NQobmI0MEatSokS6++GJdfPHFkqQVK1bo22+/1aJFi7Ro0SKtXLlShYWFld5G4O9PqtKqVSv17t1bxx9/vHr37q0+ffrwJgR1RIbeoqeajwztQI7wY100Hxl6i35qPjK0AznCj3XRfGToLfqp+cjQDuQIP9ZFO5Cjd+in5iNDO5Aj/FgT7UCO3qGfmo8M7UCO8GNNtAM52okJQwAARImpU6eW+TrwwKlevXr65JNPdMwxx9T69o855hh9//33euCBB/TII4+U3kfggVngJPkZM2bovPPO04wZM5ScnFzr+wUAINIOPfRQDR8+XMOHDy/d9ttvvykjI0OZmZnaunWrsrOzlZOTox07dig/P18FBQUqKChQSUmJEhISlJSUpMTERKWmpqpJkyZq2rSpmjVrpvbt26tjx45KT09XgwYNPNxLu5EhAACwxbJly0o/D3xnr0aNGumUU07xoKKKmjdvXuZr/3NDge/KZ7odO3aEvO7YY4+NXCFhdMwxx+i9996rsD0nJyfyxYQBGZqPDFGZ7t27q3v37ho5cqQkaf/+/Vq/fr0yMzOVmZmpTZs26eeff9bOnTu1Z88e7d27V3v27FFxcbHq16+vlJQUNWjQQCkpKWrVqpU6dOigjh07qkOHDurcubNatGjh8R7ajwwji55qPjK0AzkiFNZF85FhZNFPzUeGdiBHhMK6aD4yjCz6qfnI0A7kiFBYF+1AjpFDPzUfGdqBHBEKa6IdyDFy6KfmI0M7kCNCYU20AznagYGEAABEgZ07d+rbb78t84fp0sEBgU888USdhhH6JSQk6OGHH1bfvn11xRVXKDs7u9KhhJ988okGDx6smTNnMrAHAGC05s2bq3nz5jrxxBO9LgW1RIYAAMBEGzduLPO1/3mXM844o8LzQF5JSUkJut2mgYR5eXkhr2vWrFkEKwmfUPthS45kaD4yRE0kJyfr6KOP1tFHH+11KaglMgwveqr5yNAO5IjqYl00HxmGF/3UfGRoB3JEdbEumo8Mw4t+aj4ytAM5orpYF+1AjuFDPzUfGdqBHFFdrIl2IMfwoZ+ajwztQI6oLtZEO5CjmeK8LgAAAEhffPGFiouLJZUdCChJRx55pG644QZX7++ss87SwoUL1a1bt9L7CxRYw/z58zVw4MBKT/AAAAAAAIBZomUYnu1+/fXXoI91enq6B9UEl5ycHHR7rPzC25b/C7bsR23Ysu+27Edt2LLvtuwHALPZ0ots2Y/asGXfbdmP2rJl/23ZDwDmsqUP2bIftWHLvtuyH7Vly/7bsh8AzGVLH7JlP2rDln23ZT9qy5b9t2U/AJjLlj5ky37Uhi37bst+1JYt+2/LfgAwly19yJb9qA1b9t2W/agtW/bflv0AELsYSAgAQBRYunRp0O0+n0933HFHWO6zY8eOWrBggc4555wqhxIuWLBAZ555pnJycsJSCwAAAAAAiBzHcUovCK89e/YE3d68efMIVxLa3r17g24vKiqKcCXhk5aWFvK67du3R7CS8Am1Hw0bNoxwJeFBhuYjQwBwDz3VfGRoB3IEAHfQT81HhnYgRwBwB/3UfGRoB3IEAHfQT81HhnYgRwBwB/3UfGRoB3IEgOjHQEIAAKLAihUrSj8PHAyYkJCgCy+8MGz3m5KSovfee0+jRo0qHUAYeP+BQwkXL16s008/Xb/99lvY6gEAAAAAAOHTq1cvPfDAAxUu999/v9elWWv//v1Bt0fTL5NDvQFF/fr1I1xJ+DRu3DjkdcuWLYtcIWG0fPnyoNsr23eTkKH5yBAA3ENPNR8Z2oEcAcAd9FPzkaEdyBEA3EE/NR8Z2oEcAcAd9FPzkaEdyBEA3EE/NR8Z2oEcASD6MZAQAIAo8PPPP5f52j8I8LjjjlODBg3Cet9xcXF69tlnde+998pxHEkKOpRQOjA48bTTTtPWrVvDWhMAAAAAAHBfz549gw4kfOCBB7wuzVqhhvrt2LEjwpWEFqqWcD8nFUmHH354yOs++uijCFYSHvv379fnn38e9Dm9yvbdJGRoPjIEAPfQU81HhnYgRwBwB/3UfGRoB3IEAHfQT81HhnYgRwBwB/3UfGRoB3IEAHfQT81HhnYgRwCIfgwkBAAgCvz6669lTiz8jj/++IjV8NBDD+nJJ58s/TrUUMK1a9eqb9++FYYoAgAAAAAAoKyUlJSg27OzsyNcSWhbtmwp87X/DStatmzpRTlh0aJFi9J3FPQ/x+Xz+eQ4jt544w3l5eV5WV6dTZs2Tbm5uZIO5ud39NFHe1CR+8jQfGQIAO6hp5qPDO1AjgDgDvqp+cjQDuQIAO6gn5qPDO1AjgDgDvqp+cjQDuQIAO6gn5qPDO1AjgAQ/RhICABAFAh1ctSsWbOI1nHzzTfrhRdeUFzcgUOEYEMJfT6fNm7cqL59+2rDhg0RrQ8AAAAAAMAkLVu2rPCLZEn65ZdfPKgmuG+++abCG2X4fD61b9/eo4rC4/TTTy/NIjCT3NxcPfTQQ16VVWe7du3SfffdF/TNTiTptNNOi3BF4UOG5iNDAHAPPdV8ZGgHcgQAd9BPzUeGdiBHAHAH/dR8ZGgHcgQAd9BPzUeGdiBHAHAH/dR8ZGgHcgSA6MZAQgAAokB+fn7Q7ZEeSChJ1157rV5//XUlJCRIqjiU0L/t559/Vt++ffXjjz9GvEYAAAAAAAATpKenl/na/+59X3/9tUcVlfXTTz8pKytLUsV34Dv88MO9KClsBg8eXGGbP4+nnnpKH3zwgQdV1Y3jOLr66qu1efPm0q8Dn8urX7++zjjjDK/Kcx0Zmo8MAcA99FTzkaEdyBEA3EE/NR8Z2oEcAcAd9FPzkaEdyBEA3EE/NR8Z2oEcAcAd9FPzkaEdyBEAohsDCQEAiAJxcdG1JF900UWaMWOGkpOTJYUeSvjrr7+qb9++Wr58uSd1AgAAAAAARLMjjzyy9PPAgX+//vqrNm7c6EVJZcyZMyfkdb17945gJeE3bNgwpaSkSDr4ggX/5yUlJbrkkkv0/vvve1lijRQVFenKK6/Uu+++W2Z/pIMvYBg2bFjp83s2IEPzkSEAuIeeaj4ytAM5AoA76KfmI0M7kCMAuIN+aj4ytAM5AoA76KfmI0M7kCMAuIN+aj4ytAM5AkB0i67pRwAAxKhGjRoF3b5nz57IFhJgyJAh+vDDD9WgQQNJoYcSbt++XWeccYa+//57T+oEACCcvvrqK1177bUVLiNGjPC6NFQTGQIAAC+dcsopIa97/fXXI1hJcBMnTizznE+gE088McLVhNchhxyiK6+8ssIv+KUDz3Ht379fw4YN05133qmCggKvyqyW9evX65RTTqnyZ+iWW26JUEWRQYbmI0MAcA891XxkaAdyBAB30E/NR4Z2IEcAcAf91HxkaAdyBAB30E/NR4Z2IEcAcAf91HxkaAdyBIDo5nMCOzQAAPBE165dtW7dutKv/dPOb7rpJj355JMeVib973//05AhQ7Rr167S2vz8f7DuOI7S0tI0a9asCn9oP3nyZI0cObJ0onvgx+Li4sjtiCUcx1FOTo5ycnKUn5+vgoICFRQUqLi4WImJiUpKSlJSUpJSU1PVpEkTNWzY0OuSUQ4Zmo8MY0vgOubHOmYWMoxu9FTzkaH5yBAIrx07dqh58+YqKSkps91xHB166KH6+eefq/1Od24/x/LRRx/pnHPOqXB70oHnqlatWlXj24x2W7ZsUdeuXUvfBCTwhQv+r30+nzp06KB//OMfGj58uOLj4z2rt7xt27bpscce06RJk1RYWFght8Ashw0bpjfffNPjit1HhuYjQwBwDz3VfGRoB3IEAHfQT81HhnYgRwBwB/3UfGRoB3IEAHfQT81HhnYgRwBwB/3UfGRoB3IEgOjFQEIAAKJAnz599O2331Y4STrvvPM0Y8YMj6uTFi1apLPPPls7duyQFHooYUpKimbOnKl+/fqVXs9AwprbvXu3li1bpqVLl2r9+vXKyMhQRkaGtm7dqry8PNXk8C0hIUFNmjRRhw4dlJ6ervT0dHXr1k09e/bUkUceqbi4uDDuSewiQ/ORIfzKr2N+rGPmIEPv0VPNR4bmI0PAW2eddZY+++yzoM+NjB8/XnfccUe1bsfN51gKCgp00kknadmyZUFv76677tK4ceNqs7tR74knntDtt98e9PhQKvtihjZt2uiaa67RJZdcoqOOOsqTeouKijR79my9/vrreuedd0pfsOCvMdiLLxo2bKg1a9aodevWntQcbmRoPjIEAPfQU81HhnYgRwBwB/3UfGRoB3IEAHfQT81HhnYgRwBwB/3UfGRoB3IEAHfQT81HhnYgRwCITgwkBAAgClx++eV6/fXXS08wpAMnGYcddph++uknDys76IcfftDAgQP1+++/Swo9lLB+/fqaMWOGzjrrLEkMJKyOvXv3au7cufrss880Z84crVu3rsJAEDcO2QJ/viSpXr16OumkkzRgwAANHDhQvXr1qvN9xCoyNB8ZIpTAdcyPdcwsZBh59FTzkaH5yBCILi+//LKuvfbaMs+JSAf+HyYmJurrr7/W8ccfX+XtuPkcy5gxY/TMM88ErSkuLk5r165Vp06dar6zBnAcR0OGDNEnn3wS8sUL/u8L3Na+fXv1799fp5xyinr16qWjjjpKCQkJrteXm5urpUuXavHixZo/f76+/PLLSt/5MbB2f5bTp0/XhRde6Hpt0YIMzUeGAOAeeqr5yNAO5AgA7qCfmo8M7UCOAOAO+qn5yNAO5AgA7qCfmo8M7UCOAOAO+qn5yNAO5AgA0YmBhAAARIF//vOfuueee4L+Qfn27dvVuHFjr0uUJP34448688wztW3bNkmhhxImJydr+vTpOvfccxlIWImPP/5YU6dO1QcffKC9e/dKqnwoSPlhHzUR6nYDbzM9PV2XXXaZrrjiCnXu3LnW9xVLyNB8ZIiqsI6Zjwwjh55qPjI0HxkC0amgoEDp6ellnk8JfB6lQ4cO+uKLL9S+fftKb8et45pXXnlFV199dZlf2gfe1tlnn61Zs2b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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_thre_distribution(threshold_df_cortex) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2973c5e2-8df3-47c8-9df8-e737935c4857",
   "metadata": {},
   "source": [
    "### Thresholds of subcortex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "985b021f-dc0c-49f7-ac27-59eadd8422e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_brain_subcortex_mean = pd.read_csv('../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_subcortex_mean.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "911301e1-d728-4e12-8ea0-a8adb8427e08",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_brain_subcortex_mean = ex_brain_subcortex_mean[common_stable_genes_subcortex['genes'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ffb8f125-abeb-454c-8646-57e3f7dd290d",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_subcortex = H1901_data[~cortex_filter_H1901]\n",
    "H1902_data_subcortex = H1902_data[~cortex_filter_H1902]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ced01092-1af9-4b57-b0dd-5704d914fba4",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_subcortex = pd.concat([H1901_data_subcortex,H1902_data_subcortex])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "af6d4912-3385-468b-b30f-49447d82183f",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_subcortex = H19_data_subcortex[common_stable_genes_subcortex['genes'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "f3100b59-c776-42a9-bda2-8226273bfb7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_subcortex.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e41cabdf-30f8-48c0-a730-d3b48327fc52",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_subcortex.to_feather('../datasets/processeddata/human_sn/Human_sn_data_H19_subcortex_scaled_common_gene.feather')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "92a45bbe-207e-49b8-b8d6-05f53f69e9e0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing regions...: 100%|██████████| 127/127 [15:25<00:00,  7.29s/it]\n"
     ]
    }
   ],
   "source": [
    "threshold_dict_subcortex = calculate_thresholds(ex_brain_subcortex_mean,H19_data_subcortex,align_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "56c3234b-275b-4113-a231-a86b0f6e77f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold_df_subcortex = pd.DataFrame.from_dict(threshold_dict_subcortex, orient='index', columns=['correlation', 'p_value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "ce2fd93a-05cd-4e1f-969b-6547d31d9cd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold_df_subcortex.to_csv('./files/threshold_df_subcortex.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "a654d022-89f8-4b92-92dd-0ad447049ee6",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_thre_distribution(threshold_df_subcortex,bins = np.arange(-0.2, 0.84, 0.08)) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba0585c4-5e18-4151-b5ee-9148fe245c1f",
   "metadata": {},
   "source": [
    "### Thresholds of all "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4bf777f0-8408-41fa-b185-567e86f9989d",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_brain_mean = pd.read_csv('../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_mean.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3a537253-5c54-447f-a81c-7f8f89689241",
   "metadata": {},
   "outputs": [],
   "source": [
    "common_stable_genes_all = pd.read_csv('./files/common_stable_genes_all.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d982d4e3-f120-4166-9a15-2d42c9f199a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "ex_brain_mean = ex_brain_mean[common_stable_genes_all['genes'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3aa6cf6b-f5b7-4a3a-8c1f-89dd2ba7f87f",
   "metadata": {},
   "outputs": [],
   "source": [
    "H1901_data_all = pd.read_feather('../datasets/processeddata/human_sn/Human_sn_data_H19001_all_scaled.feather')\n",
    "H1901_data_all.set_index('index',inplace=True,drop=True)\n",
    "H1902_data_all = pd.read_feather('../datasets/processeddata/human_sn/Human_sn_data_H19002_all_scaled.feather')\n",
    "H1902_data_all.set_index('index',inplace=True,drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c69c91a4-033f-4219-9d06-60e491f503da",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_all = pd.concat([H1901_data_all,H1902_data_all])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9bdec2ed-fd1a-497c-9dc9-4e236d92e289",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_all = H19_data_all[common_stable_genes_all['genes'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "72252b8a-c5e4-4c68-bc24-ddce69867819",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing regions...: 100%|██████████| 127/127 [1:04:50<00:00, 30.64s/it] \n"
     ]
    }
   ],
   "source": [
    "threshold_dict_all = calculate_thresholds(ex_brain_mean,H19_data_all,align_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "faef77da-4f8d-4db7-b0af-c3183a91da43",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold_df_all = pd.DataFrame.from_dict(threshold_dict_all, orient='index', columns=['correlation', 'p_value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9f99c300-df41-495c-a0de-39e66b8c08cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "threshold_df_all.to_csv('./files/threshold_df_all.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e6f50b4d-f8d2-4872-b21f-c975fbb76268",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 6000x2400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_thre_distribution(threshold_df_all,bins = np.arange(-0.2, 0.84, 0.02)) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8e8180c2-96e8-499c-a295-05ccdb7cf7d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_all.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c4b2a136-5ab5-4572-9631-c86c5b20c2b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "H19_data_all.to_feather('../datasets/processeddata/human_sn/Human_sn_data_H19_all_scaled_common_gene.feather')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea6064ea-136a-47f9-a5dd-8b7e9c1236d3",
   "metadata": {},
   "source": [
    "## Integrating dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e099fd30-a619-4012-87b1-b4c0e0b67939",
   "metadata": {},
   "source": [
    "#### cortical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "375727be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# To run the integration pipeline, use the following command:\n",
    "# !python ../code/dintegrate/main.py --pool True --pool_type cortex --mean_path ../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_cortex_mean.csv --sample_path ../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_cortex.csv --h19_path ../datasets/processeddata/human_sn/Human_sn_data_H19_cortex_scaled_common_gene.feather --alignment_file ./files/sn_ahba_atlas_align_cortex.csv --gene_file ./files/common_stable_genes_cortex.csv --thre_file ./files/threshold_df_cortex.csv --pool_s_path ../datasets/integrated_dataset/cortical_pool  --integrated_s_path ../datasets/integrated_dataset/cortical_integrated"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4cb155ae-73c6-49f1-b2d5-647e548c13aa",
   "metadata": {},
   "source": [
    "#### subcortical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7c9c597f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !python ../code/dintegrate/main.py --pool True --pool_type subcortex --mean_path ../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_subcortex_mean.csv --sample_path ../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_subcortex.csv --h19_path ../datasets/processeddata/human_sn/Human_sn_data_H19_subcortex_scaled_common_gene.feather --alignment_file ./files/sn_ahba_atlas_align_subcortex.csv --gene_file ./files/common_stable_genes_subcortex.csv --thre_file ./files/threshold_df_subcortex.csv --pool_s_path ../datasets/integrated_dataset/subcortical_pool  --integrated_s_path ../datasets/integrated_dataset/subcortical_integrated"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "43139dae-f351-4a10-b643-ffa4fed62150",
   "metadata": {},
   "source": [
    "#### all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "80924359",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !python ../code/dintegrate/main.py --pool True --pool_type all --mean_path ../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas_mean.csv --sample_path ../datasets/processeddata/human_ahba/ex_d_sample_brain_atlas.csv --h19_path ../datasets/processeddata/human_sn/Human_sn_data_H19_all_scaled_common_gene.feather --alignment_file ./files/sn_ahba_atlas_align.csv --gene_file ./files/common_stable_genes_all.csv --thre_file ./files/threshold_df_all.csv --pool_s_path ../datasets/integrated_dataset/all_pool  --integrated_s_path ../datasets/integrated_dataset/all_integrated"
   ]
  }
 ],
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