From 678f24b9883d0883ffdb920d79eb50897b229213 Mon Sep 17 00:00:00 2001 From: Maria Marin Date: Mon, 19 Feb 2024 11:49:25 +0000 Subject: [PATCH] =?UTF-8?q?Replace=20m=C3=A9tricas=20en=20redes=20bipartit?= =?UTF-8?q?as.ipynb?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...m\303\251tricas en redes bipartitas.ipynb" | 111 +++++++----------- 1 file changed, 40 insertions(+), 71 deletions(-) diff --git "a/an\303\241lisis/network science/m\303\251tricas en redes bipartitas.ipynb" "b/an\303\241lisis/network science/m\303\251tricas en redes bipartitas.ipynb" index c35d50b..e3fe5fa 100644 --- "a/an\303\241lisis/network science/m\303\251tricas en redes bipartitas.ipynb" +++ "b/an\303\241lisis/network science/m\303\251tricas en redes bipartitas.ipynb" @@ -34,10 +34,11 @@ "outputs": [], "source": [ "#nodos\n", - "pro = pd.read_csv('data/nodos/pro.tsv', sep=\"\\t\")\n", - "gen = pd.read_csv('data/nodos/gen.tsv', sep=\"\\t\")\n", - "dru = pd.read_csv('data/nodos/dru.tsv', sep=\"\\t\")\n", - "dis = pd.read_csv('data/nodos/dis.tsv', sep=\"\\t\")" + "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", + "pat = pd.read_csv('Data/Nodes/pat.tsv', sep=\"\\t\")\n", + "dis = pd.read_csv('Data/Nodes/dis.tsv', sep=\"\\t\")" ] }, { @@ -48,13 +49,18 @@ "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/linkss/dru_pro.tsv', sep=\"\\t\")\n", - "dse_sym_limpio = pd.read_csv('data/dse_sym_limpio.tsv', sep=\"\\t\")" + "dis_dru_inf = pd.read_csv('Data/Links/dis_dru_inf.tsv', sep=\"\\t\")\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_mar = pd.read_csv('Data/Links/dis_dru_mar.tsv', sep=\"\\t\")\n", + "dru_sym_sef = pd.read_csv('Data/Links/dru_sym_sef.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", + "gen_pat = pd.read_csv('Data/Links/gen_pat.tsv', sep=\"\\t\")\n", + "dru_sym_ind = pd.read_csv('Data/Links/dru_sym_ind.tsv', sep=\"\\t\")\n", + "dru_pro = pd.read_csv('Data/Links/dru_pro.tsv', sep=\"\\t\")\n", + "dse_sym_limpio = pd.read_csv('Data/Links/dse_sym_limpio.tsv', sep=\"\\t\")" ] }, { @@ -384,15 +390,15 @@ "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=\",\")" + "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=\",\")" ] }, { @@ -511,53 +517,6 @@ "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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" - ] - }, - "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", @@ -611,7 +570,9 @@ "\n", "plt.savefig('grados.svg', dpi=300, format='svg', bbox_inches='tight')\n", "\n", - "plt.show()" + "plt.show()\n", + "\n", + "plt.savefig('figuras/grados.png', format='png')" ] }, { @@ -670,7 +631,9 @@ "#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()" + "plt.show()\n", + "\n", + "plt.savefig('figuras/average spl.png', format='png')" ] }, { @@ -881,7 +844,10 @@ "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()" + "plt.show()\n", + "\n", + "\n", + "plt.savefig('figuras/intermediacion.png', format='png')" ] }, { @@ -928,7 +894,10 @@ "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()" + "plt.show()\n", + "\n", + "\n", + "plt.savefig('figuras/cercania.png', format='png')" ] } ], -- 2.24.1