path_visualization.ipynb

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    "colab": {
      "name": "path_visualization.ipynb",
      "provenance": []
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QcHfq-cN1wqQ"
      },
      "source": [
        "# Path Visualization\n",
        "\n",
        "A quick tool to visualize the path produced by a YAML formatted graph.\n",
        "\n",
        "### Load required modules\n",
        "\n",
        "First install the required moules to be able to run this code"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JYWUExc81wqQ",
        "outputId": "18fdba74-0ca2-45e8-ee9c-e22956141546"
      },
      "source": [
        "!pip install git+https://github.com/SuLab/path_plots\n", 
        "!pip install -U PyYAML\n",
        "!pip uninstall networkx -y\n",
        "!pip install networkx==3.0"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting git+https://github.com/mmayers12/path_plots\n",
            "  Cloning https://github.com/mmayers12/path_plots to /tmp/pip-req-build-oawru71u\n",
            "  Running command git clone -q https://github.com/mmayers12/path_plots /tmp/pip-req-build-oawru71u\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from path-plots==0.0.4) (1.1.5)\n",
            "Requirement already satisfied: networkx>=2.5 in /usr/local/lib/python3.7/dist-packages (from path-plots==0.0.4) (2.5)\n",
            "Requirement already satisfied: matplotlib>=3.1.1 in /usr/local/lib/python3.7/dist-packages (from path-plots==0.0.4) (3.2.2)\n",
            "Requirement already satisfied: seaborn in /usr/local/lib/python3.7/dist-packages (from path-plots==0.0.4) (0.11.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.1.1->path-plots==0.0.4) (1.3.1)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.1.1->path-plots==0.0.4) (2.4.7)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.1.1->path-plots==0.0.4) (0.10.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.1.1->path-plots==0.0.4) (2.8.2)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=3.1.1->path-plots==0.0.4) (1.19.5)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib>=3.1.1->path-plots==0.0.4) (1.15.0)\n",
            "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.7/dist-packages (from networkx>=2.5->path-plots==0.0.4) (4.4.2)\n",
            "Requirement already satisfied: pytz>=2017.2 in /usr/local/lib/python3.7/dist-packages (from pandas->path-plots==0.0.4) (2018.9)\n",
            "Requirement already satisfied: scipy>=1.0 in /usr/local/lib/python3.7/dist-packages (from seaborn->path-plots==0.0.4) (1.4.1)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.7/dist-packages (5.4.1)\n",
            "Found existing installation: networkx 2.5\n",
            "Uninstalling networkx-2.5:\n",
            "  Successfully uninstalled networkx-2.5\n",
            "Collecting networkx==2.5\n",
            "  Using cached networkx-2.5-py3-none-any.whl (1.6 MB)\n",
            "Requirement already satisfied: decorator>=4.3.0 in /usr/local/lib/python3.7/dist-packages (from networkx==2.5) (4.4.2)\n",
            "Installing collected packages: networkx\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "albumentations 0.1.12 requires imgaug<0.2.7,>=0.2.5, but you have imgaug 0.2.9 which is incompatible.\u001b[0m\n",
            "Successfully installed networkx-2.5\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QyfLeSAZ1wqR"
      },
      "source": [
        "### Import files\n",
        "\n",
        "Clone the rest of the repository here so that we can use code from other files within it. Change to the newly cloned repo directory."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UhVvO-Y21wqS",
        "outputId": "cb7589ec-44fb-4944-d807-7994effa0c59"
      },
      "source": [
        "!git clone --depth 5 https://github.com/SuLab/DrugMechDB.git"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'DrugMechDB'...\n",
            "remote: Enumerating objects: 185, done.\u001b[K\n",
            "remote: Counting objects: 100% (185/185), done.\u001b[K\n",
            "remote: Compressing objects: 100% (167/167), done.\u001b[K\n",
            "remote: Total 185 (delta 17), reused 152 (delta 12), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (185/185), 5.92 MiB | 10.40 MiB/s, done.\n",
            "Resolving deltas: 100% (17/17), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1EViw5Pe1wqT"
      },
      "source": [
        "import os\n",
        "os.chdir('DrugMechDB')"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LZdFWlbj1wqT"
      },
      "source": [
        "# YAML String\n",
        "\n",
        "Please copy-paste your YAML for a DrugMechDB path below to have it visualized"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A7EduurE1wqT"
      },
      "source": [
        "yaml_string = \"\"\"\n",
        "-   directed: true\n",
        "    graph:\n",
        "        disease: Keratitis\n",
        "        disease_mesh: MESH:D007634\n",
        "        drug: cortisone acetate\n",
        "        drug_mesh: MESH:D003348\n",
        "        drugbank: DB:DB01380\n",
        "    links:\n",
        "    -   key: increases activity of\n",
        "        source: MESH:D003348\n",
        "        target: UniProt:P04150\n",
        "    -   key: negatively regulates\n",
        "        source: UniProt:P04150\n",
        "        target: UniProt:P23219\n",
        "    -   key: increases abundance of\n",
        "        source: UniProt:P23219\n",
        "        target: MESH:D011453\n",
        "    -   key: located in\n",
        "        source: MESH:D011453\n",
        "        target: GO:0006954\n",
        "    -   key: causes\n",
        "        source: GO:0006954\n",
        "        target: MESH:D007634\n",
        "    multigraph: true\n",
        "    nodes:\n",
        "    -   id: MESH:D003348\n",
        "        label: Drug\n",
        "        name: cortisone acetate\n",
        "    -   id: UniProt:P04150\n",
        "        label: Protein\n",
        "        name: Glucocorticoid receptor\n",
        "    -   id: UniProt:P23219\n",
        "        label: Protein\n",
        "        name: COX genes\n",
        "    -   id: MESH:D011453\n",
        "        label: ChemicalSubstance\n",
        "        name: Prostaglandins\n",
        "    -   id: GO:0006954\n",
        "        label: BiologicalProcess\n",
        "        name: Inflammation\n",
        "    -   id: MESH:D007634\n",
        "        label: Disease\n",
        "        name: Keratitis\n",
        "    reference: https://go.drugbank.com/drugs/DB01380#mechanism-of-action\n",
        "\"\"\""
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EFW0L0z11wqU"
      },
      "source": [
        "### Import the required packages\n",
        "\n",
        "Import the plotting and testing code for the path"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dCkhA3nc1wqU"
      },
      "source": [
        "# Imports throw a couple warnings, so for cleanliness, suppress them.\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "import networkx as nx\n",
        "from path_plots import dmdb_plots as dp\n",
        "\n",
        "from utils.pathtester import PathTester"
      ],
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-9QjJ60V1wqV"
      },
      "source": [
        "### Convert the YAML string to a path"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EiLf0XuW1wqV"
      },
      "source": [
        "from io import StringIO\n",
        "\n",
        "with StringIO(yaml_string) as f:\n",
        "    path = nx.read_yaml(f)\n",
        "    \n",
        "    ### Allow for direct copy-paste from indication_paths.yaml\n",
        "    if type(path) == list:\n",
        "        path = path[0]"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eby5H1Zx1wqW"
      },
      "source": [
        "## Validate Path\n",
        "\n",
        "This next block of code will run a set of validation processes on the YAML for the path.\n",
        "\n",
        "If there are any errors within the path, an error message describing the problem will be displayed and the remaining plotting code will fail to run.  The errors must be corrected before the plots below can be displayed\n",
        "\n",
        "If no errors are found `valid path` will be printed."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lxi1n7_p1wqW",
        "outputId": "265295ec-ea8c-4038-894a-45e73d143ab4"
      },
      "source": [
        "test = PathTester(path)\n",
        "test.run_tests()\n",
        "print('valid path')"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "valid path\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kjvOcPIs1wqW"
      },
      "source": [
        "## Path Plot"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iUc-6oSR1wqX"
      },
      "source": [
        "### Node color legend\n",
        "\n",
        "Below we will draw the color legend for different node types"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "id": "tfhBfiCj1wqX",
        "outputId": "18406651-a4fd-4e26-a860-d451a424d40f"
      },
      "source": [
        "dp.plot_node_legend();"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dJ7IwQG71wqX"
      },
      "source": [
        "## Path"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XUMsOGg61wqX"
      },
      "source": [
        "Below the drug to disease path will be plotted.  \n",
        "\n",
        "Also please ensure the colors for the node labels match that of those shown in the legend above, and not the INVALID color."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "n9CSPYMO1wqY",
        "outputId": "fdd6c822-8140-4ee9-c0cd-71c6ff3027e3"
      },
      "source": [
        "dp.plot_path(path);"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1382.4x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}