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    "Tutorial 1: Predicting the Molecular Type of Neurons\n",
    "====================================================\n",
    "To demonstrate some of the main functionalities of CAJAL,\n",
    "here we perform some basic analysis on a set of neuron\n",
    "morphological reconstructions obtained from the\n",
    "[Allen Brain Atlas](https://celltypes.brain-map.org/). To facilitate\n",
    "the analysis, we provide a compressed \\*.tar.gz file containing the \\*.SWC\n",
    "files of 509 neurons used in this example, which can be downloaded directly from this\n",
    "[link](https://www.dropbox.com/s/aq0ovetjtqihf4f/allen_brain_atlas_509_SWCs_mouse_full_or_dendrite_only.tar.gz). In this tutorial we assume that the SWC files are located in the folder `/home/jovyan/swc`. More information about this dataset can be found at:\n",
    "\n",
    "\\- Gouwens, N. W. et al. [Classification of electrophysiological and morphological neuron types in the mouse visual cortex.](https://www.nature.com/articles/s41593-019-0417-0) Nat Neurosci 22, 1182-1195 (2019).\n",
    "\n",
    "For this analysis, we focus on the morphology of the dendrites and exclude the\n",
    "axons of the neurons. To achieve this, we set `structure_ids = [1,3,4]`,\n",
    "which tells CAJAL to only sample points from the soma and the basal and apical\n",
    "dendrites. We sample 100 points from each neuron and compute the Euclidean distance\n",
    "between each pair of points in that neuron using the following code:"
   ]
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   "id": "e901e5a9-ff30-4396-8c5a-e7aa4738dbcc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cajal.sample_swc\n",
    "import cajal.swc\n",
    "from os.path import join"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "767f67d7-84e5-4a62-b2ed-5b3b273e4ee6",
   "metadata": {},
   "outputs": [],
   "source": [
    "bd = \"/home/jovyan/\" # Base directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1683a8ff-28a5-408c-a3d6-a010a4db1629",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████▉| 508/509 [00:23<00:00, 21.23it/s]\n"
     ]
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    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cajal.sample_swc.compute_icdm_all_euclidean(\n",
    "    infolder=join(bd, 'swc'),\n",
    "    out_csv=join(bd, 'swc_bdad_100pts_euclidean_icdm.csv'),\n",
    "    out_node_types=join(bd, 'swc_bdad_100pts_euclidean_node_types.npy'),\n",
    "    preprocess=cajal.swc.preprocessor_eu(\n",
    "        structure_ids=[1,3,4],\n",
    "        soma_component_only=False),\n",
    "    n_sample=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01806ceb-596a-4b46-9a56-1aa895e002a6",
   "metadata": {},
   "source": [
    "Once the sampling is completed, we compute the Gromov-Wasserstein distance\n",
    "between each pair of neurons. To compute the Gromov-Wasserstein distance matrix we use\n",
    "the code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "94bcc1c3-2c56-4edb-8d4c-61461f2330e1",
   "metadata": {},
   "outputs": [
    {
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       "model_id": "d9547a464ba84444b914d23c9c2ce6bb",
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      },
      "text/plain": [
       "  0%|          | 0/129286 [00:00<?, ?it/s]"
      ]
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     "metadata": {},
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    {
     "data": {
      "text/plain": [
       "(array([[ 0.        , 48.00771782, 23.044745  , ..., 31.6661131 ,\n",
       "         28.23034998, 15.52264516],\n",
       "        [48.00771782,  0.        , 58.39010605, ..., 68.06746526,\n",
       "         66.14810561, 55.62932524],\n",
       "        [23.044745  , 58.39010605,  0.        , ..., 19.22607515,\n",
       "         19.66919727, 23.99896955],\n",
       "        ...,\n",
       "        [31.6661131 , 68.06746526, 19.22607515, ...,  0.        ,\n",
       "         10.71261723, 30.50133611],\n",
       "        [28.23034998, 66.14810561, 19.66919727, ..., 10.71261723,\n",
       "          0.        , 29.15049728],\n",
       "        [15.52264516, 55.62932524, 23.99896955, ..., 30.50133611,\n",
       "         29.15049728,  0.        ]]),\n",
       " None)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import cajal.run_gw\n",
    "\n",
    "cajal.run_gw.compute_gw_distance_matrix(\n",
    "    join(bd, 'swc_bdad_100pts_euclidean_icdm.csv'),\n",
    "    join(bd, 'swc_bdad_100pts_euclidean_GW_dmat.csv'),\n",
    "    gw_coupling_mat_npz_loc=join(bd, 'swc_bdad_100pts_euclidean_GW_couplings.npz'),\n",
    "    num_processes=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e91d043-ad59-42db-8da8-34d2312525b9",
   "metadata": {},
   "source": [
    "We can visualize the resulting space of cell morphologies using UMAP:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a0edadb2-3e25-48b4-9b55-3ce5d2061202",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patn/PGC012_Gromov_Wasserstein/venv/lib/python3.12/site-packages/umap/umap_.py:1780: UserWarning:\n",
      "\n",
      "using precomputed metric; inverse_transform will be unavailable\n",
      "\n"
     ]
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    {
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       "                'plotly': ['https://cdn.plot.ly/plotly-2.24.1.min']\n",
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       "        require(['plotly'], function(Plotly) {\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.io as pio\n",
    "\n",
    "# Choose the adequate plotly renderer for visualizing plotly graphs in your system\n",
    "pio.renderers.default = 'notebook_connected'\n",
    "# pio.renderers.default = 'iframe'\n",
    "\n",
    "import cajal.utilities\n",
    "from umap import umap_\n",
    "import plotly.express\n",
    "\n",
    "# Read GW distance matrix\n",
    "cells, gw_dist_dict = cajal.utilities.read_gw_dists(join(bd,\"swc_bdad_100pts_euclidean_GW_dmat.csv\"), header=True)\n",
    "gw_dist = cajal.utilities.dist_mat_of_dict(gw_dist_dict, cells)\n",
    "\n",
    "# Compute UMAP representation\n",
    "reducer = umap_.UMAP(metric=\"precomputed\", random_state=1)\n",
    "embedding = reducer.fit_transform(gw_dist)\n",
    "\n",
    "# Visualize UMAP\n",
    "plotly.express.scatter(x=embedding[:,0],\n",
    "                       y=embedding[:,1],\n",
    "                       template=\"simple_white\",\n",
    "                       hover_name=[m + \".swc\" for m in cells])"
   ]
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  {
   "cell_type": "markdown",
   "id": "060f294a-469b-4c62-952a-bb830ff17317",
   "metadata": {},
   "source": [
    "Once the user has computed the Gromov-Wasserstein distances between cells it is\n",
    "possible to cluster the cells using standard clustering techniques. The Louvain\n",
    "and Leiden clustering algorithms are two commonly used\n",
    "algorithms to identify communities within large networks; they can be adapted\n",
    "to finite metric spaces by constructing a k-nearest-neighbors graph on top of\n",
    "the metric space. CAJAL provides access to both of these clustering\n",
    "algorithms. When combined with a low-dimensional embedding tool such as the\n",
    "UMAP algorithm, the user can plot the clusters in a 2-dimensional embedding and\n",
    "visualize them. Here, we use the Leiden algorithm to cluster the neurons based on their morphology:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7c319c09-95a5-4ad7-b199-409275bfc2dc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patn/PGC012_Gromov_Wasserstein/venv/lib/python3.12/site-packages/plotly/express/_core.py:1992: FutureWarning:\n",
      "\n",
      "When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "\n"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "clusters = cajal.utilities.leiden_clustering(gw_dist, seed=1)\n",
    "plotly.express.scatter(x=embedding[:,0],\n",
    "                       y=embedding[:,1],\n",
    "                       template=\"simple_white\",\n",
    "                       hover_name=[m + \".swc\" for m in cells],\n",
    "                       color = [str(m) for m in clusters])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84e265b7-ce39-4aa2-801e-d109f6c2803b",
   "metadata": {},
   "source": [
    "As expected, cells belonging to the same cluster have similar morphology. For example,\n",
    "let us visualize some of the cells in the brown cluster (cluster 8) using the Python package [NAVis](https://navis.readthedocs.io/en/latest/index.html>) (which can be installed using `pip install navis`):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "76a949b1-75b3-4cda-b96f-8876e9e14c8c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='x', ylabel='y'>)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import navis\n",
    "\n",
    "cells_cluster_8 = [n for m, n in zip(clusters, cells) if m==8]\n",
    "cluster_8 = [navis.read_swc(join(bd,\"swc/\" + n + \".swc\")) for n in cells_cluster_8]\n",
    "\n",
    "cluster_8[1].plot2d()\n",
    "cluster_8[2].plot2d()\n",
    "cluster_8[3].plot2d()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1c8a003-60ce-41b7-8234-a59e9ee92396",
   "metadata": {},
   "source": [
    "NAVis offers many other great functionalities, including interactive 3D visualizations of the neurons using `plot3d()`. More information about those functionalities can be found at the [NAVis documentation](https://navis.readthedocs.io/en/latest/index.html>).\n",
    "\n",
    "We can also compute the medoid of the cluster, i. e. the most central\n",
    "neuron of the cluster (and therefore a good representative of the\n",
    "morphologies present in the cluster), and visualize it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e430057-c536-4627-9562-c2c1d9d90b98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='x', ylabel='y'>)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "medoid_8 = navis.read_swc(join(bd,'swc/' + cajal.utilities.identify_medoid(cells_cluster_8, gw_dist_dict) + \".swc\"))\n",
    "medoid_8.plot2d()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6ccc83a-c72b-4e38-a0b5-863bb0935a50",
   "metadata": {},
   "source": [
    "CAJAL allows the user to visualize the components of each neuron which contribute the most to the overall morphological distance. \n",
    "Here, we compare the medoid neurons of the 5th and 8th clusters. Regions in red represent morphological distinctions between the two cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e5745c6b-d3cf-441f-a8f5-8c651e5e5f19",
   "metadata": {},
   "outputs": [],
   "source": [
    "from cajal.deformation_vis import navis_heatmap\n",
    "\n",
    "cells_cluster_5 = [n for m, n in zip(clusters, cells) if m==5]\n",
    "medoid_5 = navis.read_swc(join(bd,'swc/' + cajal.utilities.identify_medoid(cells_cluster_5, gw_dist_dict) + \".swc\"))\n",
    "(heatmap_5, heatmap_8) = navis_heatmap(medoid_5, 200, medoid_8, 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1721933e-1e65-4f44-8560-e328f32fdf03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 640x480 with 1 Axes>, <Axes: xlabel='x', ylabel='y'>)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap_5.plot2d(color_by='distortion', palette='cool')\n",
    "heatmap_8.plot2d(color_by='distortion', palette='cool')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d1b72ab",
   "metadata": {},
   "source": [
    "Another tool CAJAL offers to better understand the morphological characteristics of a cluster of cells is an \"average spanning tree\" algorithm, which takes as input a cluster of morphologically similar neurons and returns a topological tree structure which is representative of the topology and branching characteristics of cells in the cluster; visualizing this tree can give intuition into the basic commonalities in the cluster.\n",
    "\n",
    "The concept behind the algorithm is that, since the Gromov-Wasserstein distance offers a way to align cells with each other, after identifying the medoid cell of the cluster, we can align the cells with the medoid cell using the optimal transport plans, which makes it possible to superimpose the graphs in a meaningful way and take the arithmetic average of their adjacency matrices.\n",
    "\n",
    "The graph can be visualized with any standard Python graph library, such as Networkx. We illustrate the usage here with the computation of the average spanning tree for cells in cluster 0,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0ec25a3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_46323/734124012.py:16: DeprecationWarning:\n",
      "\n",
      "`alltrue` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `all` instead.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gw_coupling_mat_dict=cajal.utilities.read_gw_couplings(join(bd, 'swc_bdad_100pts_euclidean_GW_couplings.npz'))\n",
    "cell_icdms = dict(cajal.utilities.cell_iterator_csv(\n",
    "    join(bd, 'swc_bdad_100pts_euclidean_icdm.csv'),\n",
    "    as_squareform=False)\n",
    "    )\n",
    "\n",
    "def plot_graph(adjacency_matrix, confidence):\n",
    "    import networkx as nx\n",
    "    import matplotlib.pyplot as plt\n",
    "    import numpy as np\n",
    "    G=nx.Graph(adjacency_matrix, confidence=confidence)\n",
    "    pos = nx.spring_layout(G)\n",
    "    color = np.arange(len(G.nodes))\n",
    "    plot_color = color[[i[1] for i in G.edges]]\n",
    "    _, ax = plt.subplots()\n",
    "    nx.draw_networkx_edges(G, pos, alpha=1, width=2, ax=ax, edge_color=plot_color)\n",
    "    nx.draw_networkx_nodes(G, pos, nodelist=G.nodes, node_color=color, node_size=2, ax=ax)\n",
    "    plt.show()\n",
    "\n",
    "(adjacency_matrix, confidence) = cajal.utilities.avg_shape_spt(\n",
    "    [n for m, n in zip(clusters, cells) if m==0],\n",
    "    gw_dist_dict,\n",
    "    cell_icdms,\n",
    "    gw_coupling_mat_dict,\n",
    "    k=3)\n",
    "\n",
    "plot_graph(adjacency_matrix, confidence)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0b5120b-8d25-4c56-a796-9b0f334e966b",
   "metadata": {},
   "source": [
    "Let us now study the association of other neuronal features with the morphology of the neurons. The file ``CAJAL/data/cell_types_specimen_details.csv`` in the GitHub repository of CAJAL\n",
    "contains metadata for each of the neurons in this example, including the layer, Cre line, etc.\n",
    "Here we color the above UMAP representation by the cortical layer of each neuron:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "18dd7f79-7992-4f24-95d2-d447d9ceb396",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patn/PGC012_Gromov_Wasserstein/venv/lib/python3.12/site-packages/plotly/express/_core.py:1992: FutureWarning:\n",
      "\n",
      "When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
      "\n"
     ]
    },
    {
     "data": {
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas\n",
    "\n",
    "metadata = pandas.read_csv(join(bd,\"cell_types_specimen_details.csv\"))\n",
    "metadata.index = [str(m) for m in metadata[\"specimen__id\"]]\n",
    "metadata = metadata.loc[cells]\n",
    "\n",
    "plotly.express.scatter(x=embedding[:,0],\n",
    "                       y=embedding[:,1],\n",
    "                       template=\"simple_white\",\n",
    "                       hover_name=[m + \".swc\" for m in cells],\n",
    "                       color = metadata[\"structure__layer\"])"
   ]
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  {
   "cell_type": "markdown",
   "id": "753aacce-a3a9-4534-89b7-30cb307e05dc",
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   "source": [
    "As shown in the visualization, different cortical layers seem to be\n",
    "associated with specific regions of the cell morphology space. We can quantify\n",
    "statistically the association using the Laplacian score:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b43f20cd-dac3-4994-be08-e33b6bd33863",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     feature_laplacians  laplacian_p_values  laplacian_q_values\n",
      "1              0.976417              0.0004            0.000600\n",
      "2/3            0.968974              0.0002            0.000600\n",
      "4              0.969925              0.0002            0.000600\n",
      "5              0.987595              0.0002            0.000600\n",
      "6a             0.992887              0.0022            0.002639\n",
      "6b             0.992448              0.0024            0.002400\n"
     ]
    }
   ],
   "source": [
    "import cajal.laplacian_score\n",
    "import numpy\n",
    "import pandas\n",
    "from scipy.spatial.distance import squareform\n",
    "\n",
    "# Build indicator matrix\n",
    "layers = numpy.unique(metadata[\"structure__layer\"])\n",
    "indicator = (numpy.array(metadata[\"structure__layer\"])[:,None] == layers)*1\n",
    "\n",
    "# Compute the Laplacian score\n",
    "laplacian = pandas.DataFrame(cajal.laplacian_score.laplacian_scores(indicator,\n",
    "                                       gw_dist,\n",
    "                                       numpy.median(squareform(gw_dist)),\n",
    "                                       permutations = 5000,\n",
    "                                       covariates = None,\n",
    "                                       return_random_laplacians = False)[0])\n",
    "laplacian.index = layers\n",
    "\n",
    "print(laplacian)"
   ]
  },
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   "cell_type": "markdown",
   "id": "626c2283-0f67-4bdc-abc4-330da9820267",
   "metadata": {},
   "source": [
    "We observe that indeed all cortical layers are significantly associated with distinct\n",
    "regions of the cell morphology space, with false discovery rates (FDRs) < 0.05.\n",
    "\n",
    "We could perform a similar analysis with other features. Alternatively, we could\n",
    "build a classifier to predict the value of each feature based on the position of the cells in\n",
    "the cell morphology space. For example, each neuron in the dataset is derived\n",
    "from a specific Cre driver line, which preferentially labels distinct neuronal types.\n",
    "Neurons from the same Cre driver line therefore tend to have similar morphologies, and\n",
    "a Laplacian score analysis would show that many Cre driver lines are significantly\n",
    "associated with distinct regions of the cell morphology space. As a result, it is\n",
    "possible to predict the Cre driver line of a neuron based on its morphological features.\n",
    "\n",
    "To accomplish this, we train a nearest-neighbors classifier on the GW distance matrix and\n",
    "evaluate its accuracy using 7-fold cross-validation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "541cebff-d9a0-428d-9082-15180ee19507",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patn/PGC012_Gromov_Wasserstein/venv/lib/python3.12/site-packages/sklearn/model_selection/_split.py:776: UserWarning:\n",
      "\n",
      "The least populated class in y has only 1 members, which is less than n_splits=7.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.2964231354642313"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.model_selection import StratifiedKFold, cross_val_score\n",
    "\n",
    "cre_lines = numpy.array(metadata[\"line_name\"])\n",
    "\n",
    "clf = KNeighborsClassifier(metric=\"precomputed\", n_neighbors=10, weights=\"distance\")\n",
    "cv = StratifiedKFold(n_splits=7, shuffle=True,random_state=0)\n",
    "accuracy = cross_val_score(clf, X=gw_dist, y=cre_lines,cv=cv)\n",
    "\n",
    "numpy.mean(accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61e7ad10-1580-489d-bd4f-4acdf08d5add",
   "metadata": {},
   "source": [
    "Similarly, we can compute the\n",
    "[Matthews correlation coefficient](https://bmcgenomics.biomedcentral.com/counter/pdf/10.1186/s12864-019-6413-7.pdf) \n",
    "of the classification, which appropriately weights the error arising from misclassifying\n",
    "elements of smaller classes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "392cad0e-0022-4b06-99ab-453c9169ba45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.24254759274161383\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/patn/PGC012_Gromov_Wasserstein/venv/lib/python3.12/site-packages/sklearn/model_selection/_split.py:776: UserWarning:\n",
      "\n",
      "The least populated class in y has only 1 members, which is less than n_splits=7.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_predict\n",
    "from sklearn.metrics import matthews_corrcoef\n",
    "\n",
    "cvp = cross_val_predict(clf, X=gw_dist, y=cre_lines, cv=cv)\n",
    "\n",
    "print(matthews_corrcoef(cvp, cre_lines))"
   ]
  }
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