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Commit b13bf1db authored by Maria Marin's avatar Maria Marin
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Update métricas en redes bipartitas.ipynb

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análisis/network science/métricas en redes bipartitas.ipynb
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......@@ -34,10 +34,10 @@
"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\")"
"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\")"
]
},
{
......@@ -48,13 +48,13 @@
"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",
"dse_sym_limpio = pd.read_csv('Data/dse_sym_limpio.tsv', sep=\"\\t\")"
"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\")"
]
},
{
......@@ -384,15 +384,15 @@
"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=\",\")"
]
},
{
......
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