métricas en redes bipartitas.ipynb 897 KB
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "05548036-3e20-4384-9955-26dbde146c4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx\n",
    "from networkx.algorithms import bipartite\n",
    "import nxpd\n",
    "import funciones_network_science\n",
    "import re"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1201180-d8ad-447e-ac47-a2e4c2fbc3ae",
   "metadata": {},
   "source": [
    "### Datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "98dc3ae8-4174-483e-9f14-7d37cdd8cb5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#nodos\n",
    "pro = pd.read_csv('Data/Nodes/pro.tsv', sep=\"\\t\")\n",
    "gen = pd.read_csv('Data/Nodes/gen.tsv', sep=\"\\t\")\n",
    "dru = pd.read_csv('Data/Nodes/dru.tsv', sep=\"\\t\")\n",
    "dis = pd.read_csv('Data/Nodes/dis.tsv', sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e0fb9e3c-1d66-414c-81fe-291e0bc5c3a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#links\n",
    "pro_pro = pd.read_csv('Data/Links/pro_pro.tsv', sep=\"\\t\")\n",
    "dis_gen = pd.read_csv('Data/Links/dis_gen.tsv', sep=\"\\t\")\n",
    "dse_sym = pd.read_csv('Data/Links/dse_sym.tsv', sep=\"\\t\")\n",
    "dis_dru_the = pd.read_csv('Data/Links/dis_dru_the.tsv', sep=\"\\t\")\n",
    "gen_pro = pd.read_csv('Data/Links/gen_pro.tsv', sep=\"\\t\")\n",
    "dru_pro = pd.read_csv('Data/Links/dru_pro.tsv', sep=\"\\t\")\n",
57
    "dse_sym_limpio = pd.read_csv('Data/dse_sym_limpio.tsv', sep=\"\\t\")"
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   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb7d41a0-d1fd-45f8-8763-1d462af9d36a",
   "metadata": {},
   "source": [
    "### Redes bipartitas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3edad904-1d84-46b8-b7c4-b1350e46e8f3",
   "metadata": {},
   "source": [
    "##### 1. Red enfermedades y genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8818776b-9848-4752-ae20-30b91cd6ad8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "G_dis_gen = nx.Graph() #red vacía de enfermedades y genes\n",
    "\n",
    "for i, enf in enumerate(dis_gen[\"dis\"]): #desde el dataframe dis_gen, obtengo el id de la enfermedad (enf) y su posición (i)\n",
    "    gen = dis_gen['gen'][i] #obtengo el gen en la misma posición que cada enfermedad pero en la columna \"gen\" del dataframe\n",
    "    G_dis_gen.add_node(enf, bipartite='enf') #añado las enfermedades como nodos y las etiqueto como bipartite = enf\n",
    "    G_dis_gen.add_node(gen, bipartite='gen') #añado los genes como nodos y las etiqueto como bipartite = gen\n",
    "    G_dis_gen.add_edge(enf, gen) #añado una conexión entre los genes y las enfermedades de la misma fila\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a569018f-9c24-4183-98a2-eb3f0588fe0b",
   "metadata": {},
   "source": [
    "##### 2. Red enfermedades y fármacos "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3a7a96dd-f1cf-4838-a4b9-a82bb23686d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "G_dis_dru = nx.Graph() #red vacía de enfermedades y fármacos\n",
    "\n",
    "for i, enf in enumerate(dis_dru_the[\"dis\"]): #desde el dataframe dis_dru_the, obtengo el id de la enfermedad (enf) y su posición (i)\n",
    "    dru = dis_dru_the['dru'][i] #obtengo el fármaco en la misma posición que cada enfermedad pero en la columna \"dur\" del dataframe\n",
    "    G_dis_dru.add_node(enf, bipartite='enf') #añado las enfermedades como nodos y las etiqueto como bipartite = enf\n",
    "    G_dis_dru.add_node(dru, bipartite='dru') #añado los fármacos como nodos y las etiqueto como bipartite = dru\n",
    "    G_dis_dru.add_edge(enf, dru) #añado una conexión entre los fármacos y las enfermedades de la misma fila\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bce68263-4f2b-4eb0-8c53-3370efe5bdb3",
   "metadata": {},
   "source": [
    "##### 3. Red enfermedades y síntomas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2c634735-31c0-4234-b033-75c3ea31f7c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "G_dse_sym = nx.Graph() #red vacía de enfermedades y síntomas\n",
    "\n",
    "for i, enf in enumerate(dse_sym_limpio[\"dse\"]): #desde el dataframe dse_sy,, obtengo el id de la enfermedad (enf) y su posición (i)\n",
    "    sym = dse_sym_limpio['sym'][i] #obtengo el síntoma en la misma posición que cada enfermedad pero en la columna \"sym\" del dataframe\n",
    "    G_dse_sym.add_node(enf, bipartite='enf') #añado las enfermedades como nodos y las etiqueto como bipartite = enf\n",
    "    G_dse_sym.add_node(sym, bipartite='sym') #añado los síntomas como nodos y las etiqueto como bipartite = sym\n",
    "    G_dse_sym.add_edge(enf, sym) #añado una conexión entre los síntomas y las enfermedades de la misma fila\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "df62864a-a654-48c5-befc-011a97b5bad2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "True\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "#compruebo que sean bipartitos\n",
    "print(bipartite.is_bipartite(G_dis_gen))\n",
    "print(bipartite.is_bipartite(G_dis_dru))\n",
    "print(bipartite.is_bipartite(G_dse_sym)) #el último es falso, puede ser pq coinciden códigos de síntomas y enf y se líe?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e27bcaf9-072b-4e6a-b0d9-8e2bda76eb59",
   "metadata": {},
   "source": [
    "### Redes proyectadas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26391afc-c719-4de4-86ff-40cda2cbf219",
   "metadata": {},
   "source": [
    "##### 1. Red enfermedades según genes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6b126aff-3e72-4457-9e3d-66714d69219b",
   "metadata": {},
   "outputs": [],
   "source": [
    "enf = {enf for enf, etiqueta in G_dis_gen.nodes(data=True) if etiqueta['bipartite'] == 'enf'} #selecciono los nodos que tendrá mi gráfico proyectado. \n",
    "#nota: data=true me da diccionario con nodo y etiqueta (en este caso, bipartite)\n",
    "G_dis_gen_proj = bipartite.projected_graph(G_dis_gen, enf) #gráfico unipartito con enfermedades conectadas según los genes que compartan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca31f1bf-4a11-48c8-8e99-b364984214bb",
   "metadata": {},
   "source": [
    "##### 2. Red enfermedades según fármacos "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "befab3f7-e32d-4648-b513-dd5c906af847",
   "metadata": {},
   "outputs": [],
   "source": [
    "enf = {enf for enf, etiqueta in G_dis_dru.nodes(data=True) if etiqueta['bipartite'] == 'enf'} #selecciono los nodos que tendrá mi gráfico proyectado. \n",
    "G_dis_dru_proj = bipartite.projected_graph(G_dis_dru, enf) #gráfico unipartito con enfermedades conectadas según los fármacos que compartan"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82ec2058-dea6-4650-8c7f-4d1f6ef4dd90",
   "metadata": {},
   "source": [
    "##### 3. Red enfermedades según síntomas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9f8e9d2e-8c68-48a9-ba11-d5525ff7583d",
   "metadata": {},
   "outputs": [],
   "source": [
    "enf = {enf for enf, etiqueta in G_dse_sym.nodes(data=True) if etiqueta['bipartite'] == 'enf'} #selecciono los nodos que tendrá mi gráfico proyectado. \n",
    "G_dse_sym_proj = bipartite.projected_graph(G_dse_sym, enf) #gráfico unipartito con enfermedades conectadas según los fármacos que compartan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3202bbee-fa13-4fa8-9352-d27e635ef3d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "#compruebo que no sean bipartitos\n",
    "print(bipartite.is_bipartite(G_dis_gen_proj))\n",
    "print(bipartite.is_bipartite(G_dis_dru_proj))\n",
    "print(bipartite.is_bipartite(G_dse_sym_proj))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b48f040-7520-43e6-bb7e-08cf10c9d4cf",
   "metadata": {},
   "source": [
    "#### Matrices Shortest Path Length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "910a8e8c-b0d0-4482-bbe0-a3a18e91af0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Matrices redes bipartitas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "92c2468f-3477-4286-8a56-47f0571caeb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_gen_bip_1 = funciones_network_science.matriz_spl_enfermedades_bip(dis_gen, G_dis_gen)\n",
    "matriz_enf_gen_bip_1.to_csv(\"SPL enf en bipartita enf-gen.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9675a6b2-1029-48c6-b2b2-72b094f5d51f",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_gen_bip_2 = funciones_network_science.matriz_spl_var_bip(dis_gen, G_dis_gen, \"gen\")\n",
    "matriz_enf_gen_bip_2.to_csv(\"SPL genes en bipartita enf-gen.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4a8ac898-6c4d-4850-bb63-fdbb62586264",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_dru_bip_1 = funciones_network_science.matriz_spl_enfermedades_bip(dis_dru_the, G_dis_dru)\n",
    "matriz_enf_dru_bip_1.to_csv(\"SPL enf en bipartita enf-dru.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "7f2c025d-2079-4824-ae53-b0c770049718",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_dru_bip_2 = funciones_network_science.matriz_spl_var_bip(dis_dru_the, G_dis_dru, \"dru\")\n",
    "matriz_enf_dru_bip_2.to_csv(\"SPL fármacos en bipartita enf-dru.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6ebbd00b-7ab9-4eab-9b04-6218f7348b31",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_sym_bip_1 = funciones_network_science.matriz_spl_var_bip(dse_sym_limpio, G_dse_sym, \"dse\")\n",
    "matriz_enf_sym_bip_1.to_csv(\"SPL enf en bipartita enf-sym.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "934368dd-7219-43bd-8680-a596e04bdc63",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_sym_bip_2 = funciones_network_science.matriz_spl_var_bip(dse_sym_limpio, G_dse_sym, \"sym\")\n",
    "matriz_enf_sym_bip_2.to_csv(\"SPL síntomas en bipartita enf-sym.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c5caf53f-8db2-43e9-b6d9-e1c899a74a18",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Matrices redes proyectadas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5f1c88b3-a45b-42b5-92bf-0d50b23898a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_gen_proj = funciones_network_science.matriz_spl_enfermedades_proj(dis_gen, G_dis_gen_proj)\n",
    "matriz_enf_gen_proj.to_csv(\"SPL enf en proyectada enf-gen.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "1fb1dba4-d7fd-4f40-b0bc-0aad144cd899",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_dru_proj = funciones_network_science.matriz_spl_enfermedades_proj(dis_dru_the, G_dis_dru_proj)\n",
    "matriz_enf_dru_proj.to_csv(\"SPL enf en proyectada enf-dru.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "ec9ea180-0998-40e7-b9c1-17ac0ed32350",
   "metadata": {},
   "outputs": [],
   "source": [
    "matriz_enf_sym_proj = funciones_network_science.matriz_spl_enfermedades_proj(dse_sym_limpio, G_dse_sym_proj)\n",
    "matriz_enf_sym_proj.to_csv(\"SPL enf en proyectada enf-sym.csv\", index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8cb5423c-1d75-4a6c-898e-5cb96788f1cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Cargo los archivos que contienen las matrices de SPL\n",
    "spl_enf_dis_gen = pd.read_csv('Data/Matrices SPL/SPL enf en bipartita enf-gen.csv', sep=\",\")\n",
    "spl_gen_dis_gen = pd.read_csv('Data/Matrices SPL/SPL genes en bipartita enf-gen.csv', sep=\",\")\n",
    "spl_enf_dis_dru = pd.read_csv('Data/Matrices SPL/SPL enf en bipartita enf-dru.csv', sep=\",\")\n",
    "spl_dru_dis_dru = pd.read_csv('Data/Matrices SPL/SPL fármacos en bipartita enf-dru.csv', sep=\",\")\n",
    "spl_enf_dse_sym = pd.read_csv('Data/Matrices SPL/SPL enf en bipartita enf-sym.csv', sep=\",\")\n",
    "spl_sym_dse_sym = pd.read_csv('Data/Matrices SPL/SPL síntomas en bipartita enf-sym.csv', sep=\",\")\n",
    "spl_dis_gen_proj = pd.read_csv('Data/Matrices SPL/SPL enf en proyectada enf-gen.csv', sep=\",\")\n",
    "spl_dis_dru_proj = pd.read_csv('Data/Matrices SPL/SPL enf en proyectada enf-dru.csv', sep=\",\")\n",
    "spl_dse_sym_proj = pd.read_csv('Data/Matrices SPL/SPL enf en proyectada enf-sym.csv', sep=\",\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a55f89-d11e-485d-849d-f973159bf6ea",
   "metadata": {},
   "source": [
    "### Número de nodos en la red"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "87569917-e482-4355-81bb-1813c706f3f1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de nodos en red bipartita enfermedades - genes: 34795\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de nodos en red bipartita enfermedades - genes: \" + str(len(G_dis_gen.nodes)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "35c315e4-978f-4400-9d3e-bba18cadcd1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de nodos en red bipartita enfermedades - fármacos: 5273\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de nodos en red bipartita enfermedades - fármacos: \" + str(len(G_dis_dru.nodes)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ba00e17f-2da0-4efc-8a2f-494f11bc0b38",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de nodos en red bipartita enfermedades - síntomas: 6876\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de nodos en red bipartita enfermedades - síntomas: \" + str(len(G_dse_sym.nodes)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "47524e14-6128-4c8a-afdf-0c3d5a7ee96b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de nodos en red proyectada enfermedades - genes: 20279\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de nodos en red proyectada enfermedades - genes: \" + str(len(G_dis_gen_proj.nodes)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8b104667-b894-4a06-b71b-fc542e44ce88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de nodos en red proyectada enfermedades - fármacos: 3746\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de nodos en red proyectada enfermedades - fármacos: \" + str(len(G_dis_dru_proj.nodes)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b46008e3-447f-41d2-97b7-915866fc9c64",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de nodos en red prouectada enfermedades - síntomas: 6408\n"
     ]
    }
   ],
   "source": [
    "print(\"Número de nodos en red prouectada enfermedades - síntomas: \" + str(len(G_dse_sym_proj.nodes)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44c13f07-fe1f-42fc-a8f9-fdbaa1034eb6",
   "metadata": {},
   "source": [
    "### Distribución de asociaciones entre nodos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9e4d56ff-276b-4e96-9b08-3ab26d3b41dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3, 2, figsize=(15, 15))\n",
    "\n",
    "funciones_network_science.asociaciones(dis_gen, \"dis\", \"gen\", \"Enfermedades\", \"Genes\", axs[0, 0])\n",
    "funciones_network_science.asociaciones(dis_gen, \"gen\", \"dis\", \"Genes\", \"Enfermedades\", axs[0, 1])\n",
    "\n",
    "funciones_network_science.asociaciones(dis_dru_the, \"dis\", \"dru\", \"Enfermedades\", \"Fármacos\", axs[1, 0])\n",
    "funciones_network_science.asociaciones(dis_dru_the, \"dru\", \"dis\", \"Fármacos\", \"Enfermedades\", axs[1, 1])\n",
    "\n",
    "funciones_network_science.asociaciones(dse_sym_limpio, \"dse\", \"sym\", \"Enfermedades\", \"Síntomas\", axs[2, 0])\n",
    "funciones_network_science.asociaciones(dse_sym_limpio, \"sym\", \"dse\", \"Síntomas\", \"Enfermedades\", axs[2, 1])\n",
    "\n",
    "# Ajustar diseño y mostrar la figura\n",
    "plt.tight_layout()\n",
    "\n",
    "# Añado título\n",
    "plt.suptitle(\"Distribución de asociaciones entre nodos\", fontsize=20, y=1.05, fontweight='bold', style='italic')\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "353b3cb8-6820-459c-abc9-6c09dd39109f",
   "metadata": {},
   "source": [
    "### Métricas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce66c0af-a1d3-4c7d-a536-c5e6cd5c960f",
   "metadata": {},
   "source": [
    "##### 1. Grado de los nodos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "77a61835-7c4a-42f4-aedb-7acf1a7ecfc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3, 3, figsize=(15, 15))\n",
    "\n",
    "funciones_network_science.degree_bip(G_dis_gen, dis_gen, \"enfermedades-genes\", \"genes\", axs[0, 0], axs[0, 1])\n",
    "funciones_network_science.degree_proj(G_dis_gen_proj, \"enfermedades-genes\", axs[0, 2])\n",
    "\n",
    "funciones_network_science.degree_bip(G_dis_dru, dis_dru_the, \"enfermedades-fármacos\", \"fármacos\", axs[1, 0], axs[1, 1])\n",
    "funciones_network_science.degree_proj(G_dis_dru_proj, \"enfermedades-fármacos\", axs[1, 2])\n",
    "\n",
    "funciones_network_science.degree_bip(G_dse_sym, dse_sym_limpio, \"enfermedades-síntomas\", \"síntomas\", axs[2, 0], axs[2, 1])\n",
    "funciones_network_science.degree_proj(G_dse_sym_proj, \"enfermedades-síntomas\", axs[2, 2])\n",
    "\n",
    "# Ajustar diseño y mostrar la figura\n",
    "plt.tight_layout()\n",
    "\n",
    "#Añado título\n",
    "plt.suptitle(\"Distribución de grados en redes bipartitas y proyectadas\", fontsize=20, y=1.05, fontweight='bold', style='italic')\n",
    "\n",
    "plt.savefig('grados.svg', dpi=300, format='svg', bbox_inches='tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4afee85-7bee-44a7-9e04-280038bf6913",
   "metadata": {},
   "source": [
    "##### 2. Average Shortest Path Length"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fe3d8b4-cec1-46ce-9aca-a5c5f709ebc8",
   "metadata": {},
   "source": [
    "2.1 Distribución de Average SPLs en redes bipartitas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d8c1a304-a578-4a5f-8e3b-2676d15cfe06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3, 3, figsize=(15, 15))\n",
    "\n",
    "funciones_network_science.average_spl(spl_enf_dis_gen, \"enfermedades-genes\", \"enfermedades\", axs[0,0], bipartita = True)\n",
    "funciones_network_science.average_spl(spl_gen_dis_gen, \"enfermedades-genes\", \"genes\", axs[0,1], bipartita = True)\n",
    "funciones_network_science.average_spl(spl_dis_gen_proj, \"enfermedades-genes\", \"enfermedades\", axs[0,2], bipartita = False)\n",
    "\n",
    "funciones_network_science.average_spl(spl_enf_dis_dru, \"enfermedades-fármacos\", \"enfermedades\", axs[1,0], bipartita = True)\n",
    "funciones_network_science.average_spl(spl_dru_dis_dru, \"enfermedades-fármacos\", \"fármacos\", axs[1,1], bipartita = True)\n",
    "funciones_network_science.average_spl(spl_dis_dru_proj, \"enfermedades-fármacos\", \"enfermedades\", axs[1,2], bipartita = False)\n",
    "\n",
    "funciones_network_science.average_spl(spl_enf_dse_sym, \"enfermedades-síntomas\", \"enfermedades\", axs[2,0], bipartita = True)\n",
    "funciones_network_science.average_spl(spl_sym_dse_sym, \"enfermedades-síntomas\", \"síntomas\", axs[2,1], bipartita = True)\n",
    "funciones_network_science.average_spl(spl_dse_sym_proj, \"enfermedades-síntomas\", \"enfermedades\", axs[2,2], bipartita = False)\n",
    "\n",
    "\n",
    "\n",
    "# Ajustar diseño y mostrar la figura\n",
    "plt.tight_layout()\n",
    "\n",
    "#Añado título\n",
    "plt.suptitle(\"Distribución de Average Shortest Path Lengths en redes bipartitas y proyectadas\", fontsize=20, y=1.05, fontweight='bold', style='italic')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0eac9e55-5447-43a5-8ba8-b9a682875a51",
   "metadata": {},
   "source": [
    "##### 3. Transitividad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "00edbcb2-c2e1-42f1-a1b9-d7c409453e50",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Transitividad en redes bipartitas\n",
    "transitivity_dis_gen = nx.transitivity(G_dis_gen)\n",
    "transitivity_dis_dru = nx.transitivity(G_dis_dru)\n",
    "transitivity_dse_sym = nx.transitivity(G_dse_sym)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "cb2eced6-0c6b-44a8-ac9d-9866abcf2083",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "0\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "print(transitivity_dis_gen)\n",
    "print(transitivity_dis_dru)\n",
    "print(transitivity_dse_sym)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "523e63b5-98c8-402b-a3cd-67cd29ae50ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Transitividad en redes proyectadas\n",
    "transitivity_dis_gen_proj = nx.transitivity(G_dis_gen_proj)\n",
    "transitivity_dis_dru_proj = nx.transitivity(G_dis_dru_proj)\n",
    "transitivity_dse_sym_proj = nx.transitivity(G_dse_sym_proj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "5e96ef19-94de-40f1-b4b4-27e9fdd6da88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.3323717072252667\n",
      "0.48114198999548424\n",
      "0.8113795328022746\n"
     ]
    }
   ],
   "source": [
    "print(transitivity_dis_gen_proj)\n",
    "print(transitivity_dis_dru_proj)\n",
    "print(transitivity_dse_sym_proj)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f4fb413-8726-457b-9d74-322c88f14037",
   "metadata": {},
   "source": [
    "##### 4. Largest Connected Component"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "7fbeb16f-e22e-4f3f-bb09-34c4123993d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Redes bipartitas\n",
    "lcc_G_dis_gen = max(nx.connected_components(G_dis_gen), key=len)\n",
    "lcc_G_dis_dru = max(nx.connected_components(G_dis_dru), key=len)\n",
    "lcc_G_dse_sym = max(nx.connected_components(G_dse_sym), key=len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f299762c-6878-4748-8607-1b931292f05c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "34736\n",
      "5250\n",
      "6876\n"
     ]
    }
   ],
   "source": [
    "print(len(lcc_G_dis_gen))\n",
    "print(len(lcc_G_dis_dru))\n",
    "print(len(lcc_G_dse_sym))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "e77864c3-919f-4bee-8590-ea61997d642d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Redes proyectadas\n",
    "lcc_G_dis_gen_proj = max(nx.connected_components(G_dis_gen_proj), key=len)\n",
    "lcc_G_dis_dru_proj = max(nx.connected_components(G_dis_dru_proj), key=len)\n",
    "lcc_G_dse_sym_proj = max(nx.connected_components(G_dse_sym_proj), key=len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "63b9e51c-e2a0-4e5b-95d5-dc57119538ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20250\n",
      "3731\n",
      "6408\n"
     ]
    }
   ],
   "source": [
    "print(len(lcc_G_dis_gen_proj))\n",
    "print(len(lcc_G_dis_dru_proj))\n",
    "print(len(lcc_G_dse_sym_proj))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a69faf06-44c3-443d-964d-c4c8fc62f107",
   "metadata": {},
   "source": [
    "##### 5. Centralidad"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a5306ed-9f95-41eb-ad93-f2aa0fa0d0ed",
   "metadata": {},
   "source": [
    "5.1 Centralidad de intermediación"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "72685ceb-8e87-4460-90e8-77cd5f919cb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3, 3, figsize=(15, 15))\n",
    "\n",
    "funciones_network_science.centrality_b_bip(G_dis_gen, dis_gen, \"enfermedades-genes\", \"genes\", axs[0, 0], axs[0, 1])\n",
    "funciones_network_science.centrality_b_proj(G_dis_gen_proj, \"enfermedades-genes\", axs[0, 2])\n",
    "\n",
    "funciones_network_science.centrality_b_bip(G_dis_dru, dis_dru_the, \"enfermedades-fármacos\", \"fármacos\", axs[1, 0], axs[1, 1])\n",
    "funciones_network_science.centrality_b_proj(G_dis_dru_proj, \"enfermedades-fármacos\", axs[1, 2])\n",
    "\n",
    "funciones_network_science.centrality_b_bip(G_dse_sym, dse_sym_limpio, \"enfermedades-síntomas\", \"síntomas\", axs[2, 0], axs[2, 1])\n",
    "funciones_network_science.centrality_b_proj(G_dse_sym_proj, \"enfermedades-síntomas\", axs[2, 2])\n",
    "\n",
    "# Ajustar diseño y mostrar la figura\n",
    "plt.tight_layout()\n",
    "\n",
    "#Añado título\n",
    "plt.suptitle(\"Distribución de centralidad de intermediación en redes bipartitas y proyectadas\", fontsize=20, y=1.05, fontweight='bold', style='italic')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "887d7c69-eb11-436e-91d1-d34a3c30c9ab",
   "metadata": {},
   "source": [
    "5.2 Centralidad de cercanía"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "96b1f7ae-e015-4d51-a390-e6ed67999dad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(3, 3, figsize=(15, 15))\n",
    "\n",
    "funciones_network_science.centrality_c_bip(G_dis_gen, dis_gen, \"enfermedades-genes\", \"genes\", axs[0, 0], axs[0, 1])\n",
    "funciones_network_science.centrality_c_proj(G_dis_gen_proj, \"enfermedades-genes\", axs[0, 2])\n",
    "\n",
    "funciones_network_science.centrality_c_bip(G_dis_dru, dis_dru_the, \"enfermedades-fármacos\", \"fármacos\", axs[1, 0], axs[1, 1])\n",
    "funciones_network_science.centrality_c_proj(G_dis_dru_proj, \"enfermedades-fármacos\", axs[1, 2])\n",
    "\n",
    "funciones_network_science.centrality_c_bip(G_dse_sym, dse_sym_limpio, \"enfermedades-síntomas\", \"síntomas\", axs[2, 0], axs[2, 1])\n",
    "funciones_network_science.centrality_c_proj(G_dse_sym_proj, \"enfermedades-síntomas\", axs[2, 2])\n",
    "\n",
    "# Ajustar diseño y mostrar la figura\n",
    "plt.tight_layout()\n",
    "\n",
    "#Añado título\n",
    "plt.suptitle(\"Distribución de centralidad de cercanía en redes bipartitas y proyectadas\", fontsize=20, y=1.05, fontweight='bold', style='italic')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}