{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "aafde16c",
   "metadata": {},
   "source": [
    "# Dataset 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04cf606e",
   "metadata": {},
   "source": [
    "- Please extract data.zip into the directory \"data\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c8782cef",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_option = \"dataset1\"\n",
    "# data_option = \"dataset2\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb1075ed",
   "metadata": {},
   "source": [
    "## Initial setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d0fc1497",
   "metadata": {},
   "outputs": [],
   "source": [
    "from speciesot import configure_platform, Config, Data, SpeciesOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7c8c6026",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "JAX is configured to use: METAL\n"
     ]
    }
   ],
   "source": [
    "configure_platform()  # For macOS with Apple Silicon\n",
    "# configure_platform(\"gpu\")  # For Linux or WSL2 with an NVIDIA GPU\n",
    "# configure_platform(\"cpu\")  # For other platforms"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51769793",
   "metadata": {},
   "source": [
    "### Computational parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "42229792",
   "metadata": {},
   "outputs": [],
   "source": [
    "if data_option == \"dataset1\":\n",
    "    mask_option = \"time_series_data\"\n",
    "    threshold = 3.0\n",
    "    threshold_surer = 3.5\n",
    "    high_epsilon = 0.01\n",
    "\n",
    "elif data_option == \"dataset2\":\n",
    "    mask_option = \"one_time_point_data\"\n",
    "    threshold = 1.4\n",
    "    threshold_surer = 2.5\n",
    "    high_epsilon = 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8c2cd368",
   "metadata": {},
   "outputs": [],
   "source": [
    "iterations = 1000\n",
    "threshold_eps = 1e-4\n",
    "low_epsilon = 0.0\n",
    "threshold_tol = 3.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "82c0b65d",
   "metadata": {},
   "outputs": [],
   "source": [
    "if data_option == \"dataset1\":\n",
    "    species = [\"human\", \"macaque\", \"mouse\"]\n",
    "    species_pairs = []\n",
    "    species_labels = [\"Human\", \"Macaque\", \"Mouse\"]\n",
    "\n",
    "elif data_option == \"dataset2\":\n",
    "    species = [\"human\", \"chimpanzee\", \"gorilla\", \"orangutan\", \"macaque\", \"mouse\"]\n",
    "    species_pairs = []\n",
    "    species_labels = [\n",
    "        \"Human_iPSC(AK02)\",\n",
    "        \"Chimp_iPSC(AK02)\",\n",
    "        \"Gorilla_iPSC(AITS)\",\n",
    "        \"Orang_iPSC(AITS)\",\n",
    "        \"Macaque_ESC(AITS)\",\n",
    "        \"Mouse_EpiLC\",\n",
    "    ]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc26c343",
   "metadata": {},
   "source": [
    "## Initialize the Config() class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3c64d879",
   "metadata": {},
   "outputs": [],
   "source": [
    "if data_option == \"dataset1\":\n",
    "    config = Config(\n",
    "        \"dataset1\",\n",
    "        \"drop\",\n",
    "        \"distinct\",\n",
    "        \"auto\",\n",
    "        \"euclidean\",\n",
    "        \"original\",\n",
    "        \"fixed\",  # \"min\" for exploring minimum converging varepsilon_min\n",
    "        mask_option,\n",
    "        iterations,\n",
    "        threshold_eps,\n",
    "        low_epsilon,\n",
    "        high_epsilon,\n",
    "        threshold_tol,\n",
    "        threshold,\n",
    "        threshold_surer,\n",
    "        species=species,\n",
    "        species_pairs=species_pairs,\n",
    "        species_labels=species_labels,\n",
    "    )\n",
    "\n",
    "elif data_option == \"dataset2\":\n",
    "    config = Config(\n",
    "        \"dataset2\",\n",
    "        \"drop\",\n",
    "        \"distinct\",\n",
    "        \"auto\",\n",
    "        \"euclidean\",\n",
    "        \"original\",\n",
    "        \"fixed\",  # \"min\" for exploring minimum converging varepsilon_min\n",
    "        mask_option,\n",
    "        iterations,\n",
    "        threshold_eps,\n",
    "        low_epsilon,\n",
    "        high_epsilon,\n",
    "        threshold_tol,\n",
    "        threshold,\n",
    "        threshold_surer,\n",
    "        species=species,\n",
    "        species_pairs=species_pairs,\n",
    "        species_labels=species_labels,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adab0cf6",
   "metadata": {},
   "source": [
    "## Initialize the Data() class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e473ac80",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = Data(config)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "150bf195",
   "metadata": {},
   "source": [
    "### Read CSV file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f55db22a",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.read_csv()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a645dca3",
   "metadata": {},
   "source": [
    "### Geometrization steps (noise reduction and total count normalization)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "94942bab",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.normalization()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95c6a8f2",
   "metadata": {},
   "source": [
    "### Geometrization step (gene selection using human transcription factors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ccf07e4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.read_tf()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13333738",
   "metadata": {},
   "source": [
    "## Initialize the SpeciesOT() class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bc913dfc",
   "metadata": {},
   "outputs": [],
   "source": [
    "spe_ot = SpeciesOT(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d776ee00",
   "metadata": {},
   "source": [
    "### Geometrization step (filtering)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f0d3f777",
   "metadata": {},
   "outputs": [],
   "source": [
    "spe_ot = spe_ot.preprocessing()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0080b40",
   "metadata": {},
   "source": [
    "### Geometrization step (distance matrix computation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c5343753",
   "metadata": {},
   "outputs": [],
   "source": [
    "spe_ot = spe_ot.calculate_gene_distance_matrix()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af72a90a",
   "metadata": {},
   "source": [
    "### Entropically regularized Gromov-Wasserstein optimal transport"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5667ae1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Platform 'METAL' is experimental and not all JAX functionality may be correctly supported!\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "W0000 00:00:1762784539.739402 2335656 mps_client.cc:510] WARNING: JAX Apple GPU support is experimental and not all JAX functionality is correctly supported!\n",
      "I0000 00:00:1762784539.749724 2335656 service.cc:145] XLA service 0x35080c0d0 initialized for platform METAL (this does not guarantee that XLA will be used). Devices:\n",
      "I0000 00:00:1762784539.749735 2335656 service.cc:153]   StreamExecutor device (0): Metal, <undefined>\n",
      "I0000 00:00:1762784539.750836 2335656 mps_client.cc:406] Using Simple allocator.\n",
      "I0000 00:00:1762784539.750849 2335656 mps_client.cc:384] XLA backend will use up to 103078739968 bytes on device 0 for SimpleAllocator.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Metal device set to: Apple M3 Max\n",
      "\n",
      "systemMemory: 128.00 GB\n",
      "maxCacheSize: 48.00 GB\n",
      "\n",
      "epsilon = 0.0100000 converged\n"
     ]
    }
   ],
   "source": [
    "spe_ot = spe_ot.gromov_wasserstein_ot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d09314bf",
   "metadata": {},
   "source": [
    "### Normalized optimal transport plan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "49e76d21",
   "metadata": {},
   "outputs": [],
   "source": [
    "spe_ot = spe_ot.normalize_otp()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c0ecbf3",
   "metadata": {},
   "source": [
    "### Transcriptomic discrepancy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "50c3b778",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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",
      "text/plain": [
       "<Figure size 450x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spe_ot.plot_transcriptomic_discrepancy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42a4e24f",
   "metadata": {},
   "source": [
    "### Gene-to-gene corespondence with corresponding rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8f77c504",
   "metadata": {},
   "outputs": [],
   "source": [
    "primate_gene_notation = [\"all_capital_italic\"] * len(spe_ot.species)\n",
    "spe_gene_dict = dict(zip(spe_ot.species, primate_gene_notation))\n",
    "\n",
    "# Reflects differences in genetic notation between primates and other species\n",
    "if spe_ot.data_option == \"dataset1\":\n",
    "    spe_gene_dict[\"Ms\"] = \"capitalized_italic\"\n",
    "elif spe_ot.data_option == \"dataset2\":\n",
    "    spe_gene_dict[\"mouse\"] = \"capitalized_italic\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e0a3a2c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mouse -> human: TBXT                mouse -> human: PRDM1               mouse -> human: PRDM14              mouse -> human: TFAP2C              \n",
      "shape: (10, 3)                      shape: (10, 3)                      shape: (10, 3)                      shape: (10, 3)                      \n",
      "┌───────┬────────┬─────────┐        ┌───────┬────────┬─────────┐        ┌───────┬────────┬─────────┐        ┌───────┬────────┬─────────┐        \n",
      "│ index ┆ Gene   ┆ Value   │        │ index ┆ Gene   ┆ Value   │        │ index ┆ Gene   ┆ Value   │        │ index ┆ Gene   ┆ Value   │        \n",
      "│ ---   ┆ ---    ┆ ---     │        │ ---   ┆ ---    ┆ ---     │        │ ---   ┆ ---    ┆ ---     │        │ ---   ┆ ---    ┆ ---     │        \n",
      "│ u32   ┆ str    ┆ str     │        │ u32   ┆ str    ┆ str     │        │ u32   ┆ str    ┆ str     │        │ u32   ┆ str    ┆ str     │        \n",
      "╞═══════╪════════╪═════════╡        ╞═══════╪════════╪═════════╡        ╞═══════╪════════╪═════════╡        ╞═══════╪════════╪═════════╡        \n",
      "│ 1     ┆ ZIC2   ┆ 49.3354 │        │ 1     ┆ PRDM1  ┆ 24.7542 │        │ 1     ┆ PRDM1  ┆ 23.7271 │        │ 1     ┆ TFAP2C ┆ 47.4370 │        \n",
      "│ 2     ┆ SOX2   ┆ 42.5094 │        │ 2     ┆ KLF4   ┆ 19.1518 │        │ 2     ┆ KLF4   ┆ 21.8424 │        │ 2     ┆ MSX2   ┆ 20.1369 │        \n",
      "│ 3     ┆ EOMES  ┆ 7.0609  │        │ 3     ┆ MSX2   ┆ 15.4050 │        │ 3     ┆ MSX2   ┆ 18.3356 │        │ 3     ┆ EGR1   ┆ 15.6225 │        \n",
      "│ 4     ┆ MIXL1  ┆ 1.0289  │        │ 4     ┆ EGR1   ┆ 14.9895 │        │ 4     ┆ EGR1   ┆ 17.0941 │        │ 4     ┆ KLF4   ┆ 14.5692 │        \n",
      "│ 5     ┆ ZIC5   ┆ 0.0426  │        │ 5     ┆ SOX15  ┆ 10.6961 │        │ 5     ┆ SOX15  ┆ 8.9255  │        │ 5     ┆ PRDM1  ┆ 2.0656  │        \n",
      "│ 6     ┆ GSC    ┆ 0.0157  │        │ 6     ┆ FOXI3  ┆ 3.7737  │        │ 6     ┆ FOXI3  ┆ 2.5166  │        │ 6     ┆ SOX15  ┆ 0.1413  │        \n",
      "│ 7     ┆ OTX2   ┆ 0.0046  │        │ 7     ┆ GATA2  ┆ 2.7741  │        │ 7     ┆ GATA2  ┆ 1.9850  │        │ 7     ┆ SOX17  ┆ 0.0081  │        \n",
      "│ 8     ┆ TCF7L1 ┆ 0.0011  │        │ 8     ┆ NKX1-2 ┆ 2.4928  │        │ 8     ┆ NKX1-2 ┆ 1.6228  │        │ 8     ┆ GATA2  ┆ 0.0052  │        \n",
      "│ 9     ┆ ETS2   ┆ 0.0005  │        │ 9     ┆ IRX6   ┆ 1.9301  │        │ 9     ┆ IRX6   ┆ 1.3439  │        │ 9     ┆ NKX1-2 ┆ 0.0052  │        \n",
      "│ 10    ┆ ZIC3   ┆ 0.0004  │        │ 10    ┆ VENTX  ┆ 1.4602  │        │ 10    ┆ VENTX  ┆ 0.9940  │        │ 10    ┆ FOXI3  ┆ 0.0029  │        \n",
      "└───────┴────────┴─────────┘        └───────┴────────┴─────────┘        └───────┴────────┴─────────┘        └───────┴────────┴─────────┘        \n"
     ]
    }
   ],
   "source": [
    "if spe_ot.data_option == \"dataset1\":\n",
    "    target_genes = [\"TBXT\", \"PRDM1\", \"PRDM14\", \"TFAP2C\"]\n",
    "    target_species_pairs = \"mouse_human\"\n",
    "    # target_genes = [\"GATA3\", \"GATA2\", \"EOMES\", \"SOX17\", \"PRDM1\", \"TFAP2C\"]\n",
    "    # target_species_pairs = \"human_mouse\"\n",
    "elif spe_ot.data_option == \"dataset2\":\n",
    "    target_genes = [\"GATA3\", \"POU5F1\", \"SOX2\"]\n",
    "    target_species_pairs = \"human_chimpanzee\"\n",
    "\n",
    "spe_ot.dashboard(target_species_pairs, target_genes, top_n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7364923c",
   "metadata": {},
   "source": [
    "### Gene-to-gene corespondence with gene expression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "67822269",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 240x60 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 240x60 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 240x60 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 240x60 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "spe_ot.corresponding_gene_expressions_separated_heatmap(\n",
    "    target_species_pairs, spe_gene_dict, target_genes, top_n=10, dataset1_bool=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a5c8840",
   "metadata": {},
   "source": [
    "## Chained Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "58449148",
   "metadata": {},
   "outputs": [],
   "source": [
    "data2 = Data(config).read_csv().normalization().read_tf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "828edd20",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epsilon = 0.0100000 converged\n",
      "human -> mouse: GATA3               human -> mouse: GATA2               human -> mouse: EOMES               human -> mouse: SOX17               human -> mouse: PRDM1               human -> mouse: TFAP2C              \n",
      "shape: (10, 3)                      shape: (10, 3)                      shape: (10, 3)                      shape: (10, 3)                      shape: (10, 3)                      shape: (10, 3)                      \n",
      "┌───────┬─────────┬─────────┐       ┌───────┬─────────┬─────────┐       ┌───────┬────────┬─────────┐        ┌───────┬────────┬─────────┐        ┌───────┬─────────┬─────────┐       ┌───────┬────────┬─────────┐        \n",
      "│ index ┆ Gene    ┆ Value   │       │ index ┆ Gene    ┆ Value   │       │ index ┆ Gene   ┆ Value   │        │ index ┆ Gene   ┆ Value   │        │ index ┆ Gene    ┆ Value   │       │ index ┆ Gene   ┆ Value   │        \n",
      "│ ---   ┆ ---     ┆ ---     │       │ ---   ┆ ---     ┆ ---     │       │ ---   ┆ ---    ┆ ---     │        │ ---   ┆ ---    ┆ ---     │        │ ---   ┆ ---     ┆ ---     │       │ ---   ┆ ---    ┆ ---     │        \n",
      "│ u32   ┆ str     ┆ str     │       │ u32   ┆ str     ┆ str     │       │ u32   ┆ str    ┆ str     │        │ u32   ┆ str    ┆ str     │        │ u32   ┆ str     ┆ str     │       │ u32   ┆ str    ┆ str     │        \n",
      "╞═══════╪═════════╪═════════╡       ╞═══════╪═════════╪═════════╡       ╞═══════╪════════╪═════════╡        ╞═══════╪════════╪═════════╡        ╞═══════╪═════════╪═════════╡       ╞═══════╪════════╪═════════╡        \n",
      "│ 1     ┆ TFCP2L1 ┆ 15.9958 │       │ 1     ┆ TFCP2L1 ┆ 21.2601 │       │ 1     ┆ HAND1  ┆ 33.8025 │        │ 1     ┆ SALL4  ┆ 33.4393 │        │ 1     ┆ PRDM1   ┆ 30.6195 │       │ 1     ┆ TFAP2C ┆ 58.6985 │        \n",
      "│ 2     ┆ MSX2    ┆ 13.0620 │       │ 2     ┆ KLF2    ┆ 17.6796 │       │ 2     ┆ OTX2   ┆ 32.8179 │        │ 2     ┆ CENPA  ┆ 18.6912 │        │ 2     ┆ PRDM14  ┆ 29.3454 │       │ 2     ┆ ESRRB  ┆ 40.7804 │        \n",
      "│ 3     ┆ MYB     ┆ 10.3333 │       │ 3     ┆ MSX2    ┆ 15.3343 │       │ 3     ┆ ZIC5   ┆ 14.5479 │        │ 3     ┆ ZNF207 ┆ 16.2833 │        │ 3     ┆ KLF2    ┆ 11.6631 │       │ 3     ┆ PRDM14 ┆ 0.1318  │        \n",
      "│ 4     ┆ SALL1   ┆ 8.6226  │       │ 4     ┆ HEY1    ┆ 14.3372 │       │ 4     ┆ TBXT   ┆ 8.7340  │        │ 4     ┆ HMGA1  ┆ 12.9616 │        │ 4     ┆ HEY1    ┆ 11.0331 │       │ 4     ┆ SALL4  ┆ 0.0743  │        \n",
      "│ 5     ┆ KLF2    ┆ 8.0654  │       │ 5     ┆ MYB     ┆ 6.7771  │       │ 5     ┆ POU3F1 ┆ 7.4624  │        │ 5     ┆ YBX3   ┆ 9.6523  │        │ 5     ┆ ESRRB   ┆ 5.5895  │       │ 5     ┆ PRDM1  ┆ 0.0690  │        \n",
      "│ 6     ┆ HEY1    ┆ 6.6176  │       │ 6     ┆ SALL1   ┆ 4.0171  │       │ 6     ┆ ZIC2   ┆ 0.8043  │        │ 6     ┆ POU5F1 ┆ 2.5335  │        │ 6     ┆ TEAD2   ┆ 3.3177  │       │ 6     ┆ HMGA1  ┆ 0.0516  │        \n",
      "│ 7     ┆ EVX1    ┆ 4.6951  │       │ 7     ┆ PRDM1   ┆ 3.4329  │       │ 7     ┆ FOXD3  ┆ 0.7716  │        │ 7     ┆ ZNF706 ┆ 2.1879  │        │ 7     ┆ TFAP2C  ┆ 2.5549  │       │ 7     ┆ YBX3   ┆ 0.0358  │        \n",
      "│ 8     ┆ HMGA2   ┆ 4.4324  │       │ 8     ┆ GATA2   ┆ 2.9142  │       │ 8     ┆ FOXR2  ┆ 0.2254  │        │ 8     ┆ ETV5   ┆ 1.5098  │        │ 8     ┆ MSX2    ┆ 2.3051  │       │ 8     ┆ PEG3   ┆ 0.0316  │        \n",
      "│ 9     ┆ NR5A2   ┆ 3.4367  │       │ 9     ┆ PRDM14  ┆ 2.4563  │       │ 9     ┆ MESP1  ┆ 0.1382  │        │ 9     ┆ TP53   ┆ 1.2767  │        │ 9     ┆ TFCP2L1 ┆ 1.6401  │       │ 9     ┆ CENPA  ┆ 0.0285  │        \n",
      "│ 10    ┆ GATA2   ┆ 3.3710  │       │ 10    ┆ NR5A2   ┆ 2.2881  │       │ 10    ┆ MYRF   ┆ 0.1072  │        │ 10    ┆ PEG3   ┆ 0.5450  │        │ 10    ┆ SALL1   ┆ 0.8676  │       │ 10    ┆ ZNF207 ┆ 0.0243  │        \n",
      "└───────┴─────────┴─────────┘       └───────┴─────────┴─────────┘       └───────┴────────┴─────────┘        └───────┴────────┴─────────┘        └───────┴─────────┴─────────┘       └───────┴────────┴─────────┘        \n"
     ]
    }
   ],
   "source": [
    "spe_ot2 = (\n",
    "    SpeciesOT(data2)\n",
    "    .preprocessing()\n",
    "    .calculate_gene_distance_matrix()\n",
    "    .gromov_wasserstein_ot()\n",
    "    .normalize_otp()\n",
    "    .dashboard(\n",
    "        target_species_pairs=\"human_mouse\",\n",
    "        target_genes=[\"GATA3\", \"GATA2\", \"EOMES\", \"SOX17\", \"PRDM1\", \"TFAP2C\"],\n",
    "        top_n=10,\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b11e220b",
   "metadata": {},
   "source": [
    "## End of tutorial"
   ]
  }
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