{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "52d05953",
   "metadata": {},
   "source": [
    "# Tutorial 1 - predefined regions\n",
    "\n",
    "Demo data for the tutorial can be downloaded from [Zenodo](https://doi.org/10.5281/zenodo.16740333)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "97657ff4-1116-4a48-947c-f9d2c9df5064",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/athena/tilgnerlab/scratch/lim4020/2024_12_20_stereoseq_mousebrain/Reproducibility/SplIsoFind_GitHub/2022_08_15_PSIprediction/envs/SplIsoFind_test/lib/python3.9/site-packages/tqdm_joblib/__init__.py:4: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
      "  from tqdm.autonotebook import tqdm\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "import SplIsoFind\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7dd9f0a6-55c8-489c-b5f9-6d7dab54da33",
   "metadata": {},
   "source": [
    "## Process allinfo file\n",
    "Assign cell type and brain region to every read. For this we use the allinfo_addct() function from the preprocess_scisorseqr.py scripts. This uses the allinfo file outputted by IsoQuant, the SR adata file, and the CIDmap. From the SR adata file we extract the labels so we know which cell type and region of each cell. The CIDmap file indicates which barcodes belong to which cell ID. \n",
    "\n",
    "All cells are labeled using CT_REGION. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "29bacdef-a1f8-4558-8ef5-d1e2909d0494",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of reads:\n",
      "446520\n",
      "Number of reads with at least 1 splice junction:\n",
      "372190\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9b5729f24b574dfab49a7e7ce931b51a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/372190 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of reads overlapping segmented cells:\n",
      "226461\n",
      "Number of reads with label:\n",
      "162445\n"
     ]
    }
   ],
   "source": [
    "fn_allinfo = 'data/allinfo_ds.gz' \n",
    "fn_CIDmap = 'data/sample1_barcodeToPos.CellID_ds.tsv.gz' \n",
    "fn_adata = 'data/sample1_cellbin_adjusted.h5ad'\n",
    "fn_out = 'data/allinfo_ds.filtered.labeled.gz'\n",
    "SplIsoFind.pp.allinfo_addct(fn_allinfo, fn_CIDmap, fn_adata, fn_out) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d78cc912-2965-4770-a454-f668deeebabf",
   "metadata": {},
   "source": [
    "## Create auxiliary files\n",
    "\n",
    "The files are needed by Scisorseqr for every dataset\n",
    "   - Iso-IsoID.csv: assigns an ID to every isoform\n",
    "   - NumIsoPerCluster: indicates how often each isoform was counted per cell type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b0eb5602-1cd7-4bf8-adac-98bd32739955",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of reads:\n",
      "162445\n",
      "Number of reads with isoform assigned:\n",
      "105769\n"
     ]
    }
   ],
   "source": [
    "fn_allinfo = 'data/allinfo_ds.filtered.labeled.gz' \n",
    "output_dir = 'data/scisorseqr/demo/'\n",
    "SplIsoFind.pp.create_auxiliary_files(fn_allinfo, output_dir)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad54bbc9-1025-4732-8a9c-14fb97d645ab",
   "metadata": {},
   "source": [
    "## Running scisorseqr\n",
    "\n",
    "We run scisorseqr for different groups of cells (either all cells or a specific cell type) and brain regions (e.g. the broad brain regions, cortical layers, or hippocampal subregions). For every test (e.g. All cells in the hippocampus), we created celltype files to define the pairwise tests that scisorseqr has to perform. These files contain 4 columns:\n",
    "1. Name of first group (e.g. CA1_ML)\n",
    "2. Labels of the reads considered to be in this group (other_CA1_ML,ExciteNeuron_CA1_ML,InhibNeuron_CA1_ML,Astro_CA1_ML,Oligo_CA1_ML)\n",
    "3. Name of the second group (e.g. CA2)\n",
    "4. Labels of the reads considered to be in this group (ExciteNeuron_CA2,other_CA2,InhibNeuron_CA2,Astro_CA2)\n",
    "\n",
    "For more information and installation details of scisorseqr we refer to the original GitHub (https://github.com/tilgnerlab/scisorseqr)\n",
    "\n",
    "Below is the example code which can be ran in the terminal to run scisorseqr on all celltype files:\n",
    "\n",
    "```bash\n",
    "cd 'Demo/Data/scisorseqr/demo/'\n",
    "mkdir res_scisorseqr\n",
    "cd res_scisorseqr\n",
    "\n",
    "# Loop over all regions and celltypes\n",
    "files=$(ls ../../ct_files)\n",
    "for file in $files; do\n",
    "    echo \"Filename: $file\"\n",
    "    mkdir $file\n",
    "    cd $file\n",
    "    cp ../../../ct_files/$file .\n",
    "\n",
    "    # Copy files to the IsoQuantOutput folder since this is what scisorseqr automatically uses as input\n",
    "    mkdir IsoQuantOutput\n",
    "    cp ../../Iso-IsoID.csv IsoQuantOutput/\n",
    "    cp ../../NumIsoPerCluster IsoQuantOutput/ \n",
    "\n",
    "    # Run scisorseqr\n",
    "    Rscript -e 'library(scisorseqr); DiffSplicingAnalysis(\"'\"$file\"'\")'\n",
    "    echo \"Finished processing $file\"\n",
    "    echo \n",
    "    echo\n",
    "\n",
    "    cd ../\n",
    "done\n",
    "```\n",
    "\n",
    "NOTE: Due to the small size of the downsampled allinfo file, not all comparisons might work."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d456781-e037-42a9-9cbd-f064b851a2f3",
   "metadata": {},
   "source": [
    "## Plot results in a heatmap\n",
    "\n",
    "See some example plots below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "08914927-1d8c-4de1-9995-37f8c03bc089",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ec4fe453-a962-419a-b961-34de928d482e_34_1753_+</th>\n",
       "      <td>ENSMUSG00000025903.15</td>\n",
       "      <td>other_Midbrain</td>\n",
       "      <td>ATACAGCTTGAACTGCATTCCGCGG</td>\n",
       "      <td>TGCCTCCCAC</td>\n",
       "      <td>;%;chr1_4878206_4878677_+;%;chr1_4878710_48988...</td>\n",
       "      <td>NoTSS</td>\n",
       "      <td>NoPolyA</td>\n",
       "      <td>;%;chr1_4878052_4878205_+;%;chr1_4878678_48787...</td>\n",
       "      <td>known</td>\n",
       "      <td>8</td>\n",
       "      <td>ENSMUST00000027036.11</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+</th>\n",
       "      <td>ENSMUSG00000025903.15</td>\n",
       "      <td>other_Midbrain</td>\n",
       "      <td>AGTACGTGACCCAGGGTTGTCGTAG</td>\n",
       "      <td>TACCGGTCCA</td>\n",
       "      <td>;%;chr1_4878206_4878677_+;%;chr1_4878710_48988...</td>\n",
       "      <td>NoTSS</td>\n",
       "      <td>chr1_4916963_4916963_+</td>\n",
       "      <td>;%;chr1_4878121_4878205_+;%;chr1_4878678_48787...</td>\n",
       "      <td>known</td>\n",
       "      <td>8</td>\n",
       "      <td>ENSMUST00000027036.11</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-</th>\n",
       "      <td>ENSMUSG00000025903.15</td>\n",
       "      <td>ExciteNeuron_CA3_ML</td>\n",
       "      <td>CTGGAAGTACTGCCTAAGACACAAG</td>\n",
       "      <td>CTAAGAGGGA</td>\n",
       "      <td>;%;chr1_4878206_4878677_+;%;chr1_4878710_48988...</td>\n",
       "      <td>NoTSS</td>\n",
       "      <td>chr1_4916963_4916963_+</td>\n",
       "      <td>;%;chr1_4878132_4878205_+;%;chr1_4878678_48787...</td>\n",
       "      <td>known</td>\n",
       "      <td>8</td>\n",
       "      <td>ENSMUST00000027036.11</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+</th>\n",
       "      <td>ENSMUSG00000025903.15</td>\n",
       "      <td>other_L4</td>\n",
       "      <td>GATCTATGTCTTACCACTTTAAACG</td>\n",
       "      <td>TCGAAACTGC</td>\n",
       "      <td>;%;chr1_4907298_4909609_+;%;chr1_4909712_49111...</td>\n",
       "      <td>NoTSS</td>\n",
       "      <td>chr1_4916963_4916963_+</td>\n",
       "      <td>;%;chr1_4907278_4907297_+;%;chr1_4909610_49097...</td>\n",
       "      <td>known</td>\n",
       "      <td>3</td>\n",
       "      <td>ENSMUST00000027036.11</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>de5497de-77cd-4d78-911f-aa18af555008_10_2065_-</th>\n",
       "      <td>ENSMUSG00000025903.15</td>\n",
       "      <td>ExciteNeuron_CA1_ML</td>\n",
       "      <td>ATGAGCGACTATGCGGTGGCTGAGC</td>\n",
       "      <td>TCCTCGCATCG</td>\n",
       "      <td>;%;chr1_4911356_4915185_+</td>\n",
       "      <td>NoTSS</td>\n",
       "      <td>chr1_4916963_4916963_+</td>\n",
       "      <td>;%;chr1_4911187_4911355_+;%;chr1_4915186_49169...</td>\n",
       "      <td>known</td>\n",
       "      <td>1</td>\n",
       "      <td>ENSMUST00000027036.11</td>\n",
       "      <td>protein_coding</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   1   \\\n",
       "0                                                                       \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  ENSMUSG00000025903.15   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  ENSMUSG00000025903.15   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   ENSMUSG00000025903.15   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  ENSMUSG00000025903.15   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  ENSMUSG00000025903.15   \n",
       "\n",
       "                                                                 2   \\\n",
       "0                                                                     \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+       other_Midbrain   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+       other_Midbrain   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   ExciteNeuron_CA3_ML   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+             other_L4   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  ExciteNeuron_CA1_ML   \n",
       "\n",
       "                                                                       3   \\\n",
       "0                                                                           \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  ATACAGCTTGAACTGCATTCCGCGG   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  AGTACGTGACCCAGGGTTGTCGTAG   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   CTGGAAGTACTGCCTAAGACACAAG   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  GATCTATGTCTTACCACTTTAAACG   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  ATGAGCGACTATGCGGTGGCTGAGC   \n",
       "\n",
       "                                                         4   \\\n",
       "0                                                             \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+   TGCCTCCCAC   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+   TACCGGTCCA   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-    CTAAGAGGGA   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+   TCGAAACTGC   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  TCCTCGCATCG   \n",
       "\n",
       "                                                                                               5   \\\n",
       "0                                                                                                   \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  ;%;chr1_4878206_4878677_+;%;chr1_4878710_48988...   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  ;%;chr1_4878206_4878677_+;%;chr1_4878710_48988...   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   ;%;chr1_4878206_4878677_+;%;chr1_4878710_48988...   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  ;%;chr1_4907298_4909609_+;%;chr1_4909712_49111...   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-                          ;%;chr1_4911356_4915185_+   \n",
       "\n",
       "                                                   6                       7   \\\n",
       "0                                                                               \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  NoTSS                 NoPolyA   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  NoTSS  chr1_4916963_4916963_+   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   NoTSS  chr1_4916963_4916963_+   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  NoTSS  chr1_4916963_4916963_+   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  NoTSS  chr1_4916963_4916963_+   \n",
       "\n",
       "                                                                                               8   \\\n",
       "0                                                                                                   \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  ;%;chr1_4878052_4878205_+;%;chr1_4878678_48787...   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  ;%;chr1_4878121_4878205_+;%;chr1_4878678_48787...   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   ;%;chr1_4878132_4878205_+;%;chr1_4878678_48787...   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  ;%;chr1_4907278_4907297_+;%;chr1_4909610_49097...   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  ;%;chr1_4911187_4911355_+;%;chr1_4915186_49169...   \n",
       "\n",
       "                                                   9   10  \\\n",
       "0                                                           \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  known   8   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  known   8   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   known   8   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  known   3   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  known   1   \n",
       "\n",
       "                                                                   11  \\\n",
       "0                                                                       \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  ENSMUST00000027036.11   \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  ENSMUST00000027036.11   \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   ENSMUST00000027036.11   \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  ENSMUST00000027036.11   \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  ENSMUST00000027036.11   \n",
       "\n",
       "                                                            12  \n",
       "0                                                               \n",
       "ec4fe453-a962-419a-b961-34de928d482e_34_1753_+  protein_coding  \n",
       "1daab6bf-00b9-46b1-ab4c-3e38c43ce7c5_31_2557_+  protein_coding  \n",
       "5e9a5ec1-4c11-4f4c-9fde-b22b8b4ef75e_0_2538_-   protein_coding  \n",
       "f227cc3d-3334-4029-a137-4c13317dd618_34_2230_+  protein_coding  \n",
       "de5497de-77cd-4d78-911f-aa18af555008_10_2065_-  protein_coding  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "allinfo = pd.read_csv('data/allinfo_ds.filtered.labeled.gz',\n",
    "                     index_col=0, header=None, sep='\\t')\n",
    "allinfo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fe72c500-9df7-438a-a7f9-66c64540f536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Used to rename the regions in the plot\n",
    "region_map = {\n",
    "    'Cortex': 'CTX',\n",
    "    'HPC': 'HPC',\n",
    "    'Midbrain': 'MB',\n",
    "    'Thalamus': 'THA',\n",
    "    'WM': 'WM'\n",
    "}\n",
    "\n",
    "SplIsoFind.pl.plot_heatmap(input_dir='data/scisorseqr/', \n",
    "             dataset='demo', \n",
    "             region='All', \n",
    "             celltype='All', \n",
    "             allinfo=allinfo,\n",
    "             region_map=region_map, region_map2=region_map\n",
    "            )\n",
    "\n",
    "SplIsoFind.pl.plot_heatmap(input_dir='data/scisorseqr/', \n",
    "             dataset='demo', \n",
    "             region='All', \n",
    "             celltype='ExciteNeuron', \n",
    "             allinfo=allinfo,\n",
    "             region_map=region_map, region_map2=region_map\n",
    "            )\n",
    "\n",
    "SplIsoFind.pl.plot_heatmap(input_dir='data/scisorseqr/', \n",
    "             dataset='demo', \n",
    "             region='cortex', \n",
    "             celltype='ExciteNeuron', \n",
    "             allinfo=allinfo,\n",
    "             region_map=None, region_map2=None\n",
    "            )\n",
    "\n",
    "region_map = {\n",
    "    'CA1': 'CA1',\n",
    "    'CA2': 'CA2',\n",
    "    'CA3': 'CA3',\n",
    "    'DG': 'DG',\n",
    "    'Subiculum': 'SUB'\n",
    "}\n",
    "\n",
    "region_map2 = {\n",
    "    'CA1_ML': 'CA1',\n",
    "    'CA2': 'CA2',\n",
    "    'CA3_ML': 'CA3',\n",
    "    'DG_ML': 'DG',\n",
    "    'Subiculum': 'SUB'\n",
    "}\n",
    "\n",
    "SplIsoFind.pl.plot_heatmap(input_dir='data/scisorseqr/', \n",
    "             dataset='demo', \n",
    "             region='HPC', \n",
    "             celltype='ExciteNeuron', \n",
    "             allinfo=allinfo,\n",
    "             region_map=region_map, region_map2=region_map2\n",
    "            )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4525292d-053d-426e-8a6e-21ec7678e930",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37ef7ea0-75f4-45c9-bac4-8e1c89baad99",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.23"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}