GenoTEX / output /regress /Allergies /significant_genes_condition_Gender.json
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{
"significant_genes": {
"Variable": [
"SLC2A10",
"DYRK4",
"MRPS16",
"ACOT6",
"PIWIL3",
"MIRLET7F1",
"DYRK3",
"MAGEB2",
"RSPH10B2",
"SLC15A5",
"NPHP3-AS1",
"FOXA1",
"DUSP14",
"ZBTB16",
"RPL7",
"CCDC77",
"CYP11B2"
],
"Coefficient": [
-0.09357907283843638,
-0.08958674741376396,
-0.04710108107552352,
-0.042039908161486776,
0.03067539562979727,
-0.026101559203626893,
-0.024746504417483897,
0.02217974336456028,
-0.0144364524889129,
0.01064127533204049,
0.010160961703389673,
0.0088725778480019,
-0.006934083278062424,
-0.00593196678663362,
-0.005432451996072201,
-0.00493496680141455,
0.004489070948077719
],
"Absolute Coefficient": [
0.09357907283843638,
0.08958674741376396,
0.04710108107552352,
0.042039908161486776,
0.03067539562979727,
0.026101559203626893,
0.024746504417483897,
0.02217974336456028,
0.0144364524889129,
0.01064127533204049,
0.010160961703389673,
0.0088725778480019,
0.006934083278062424,
0.00593196678663362,
0.005432451996072201,
0.00493496680141455,
0.004489070948077719
]
},
"cv_performance": {
"prediction": {
"accuracy": 66.66666666666667,
"precision": 73.0,
"recall": 84.33333333333333,
"f1": 76.95959595959596
},
"selection": {
"precision": 0.0,
"recall": 0.0,
"f1": 0.0,
"jaccard": 0.0
}
}
}