GenoTEX / output /regress /Allergies /significant_genes_condition_Age.json
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{
"significant_genes": {
"Variable": [
"SLC2A10",
"DYRK3",
"DYRK4",
"FOXA1",
"ABRA",
"MRPS16",
"RPL7",
"NPHP3-AS1",
"SH3GL1P1",
"MIRLET7F1",
"CLEC4C",
"PIWIL3",
"MAGEB2",
"SCGB1A1",
"VTN",
"ACOT6",
"RDH16",
"LELP1"
],
"Coefficient": [
-0.08577649122266084,
-0.06374265580908459,
-0.048359492708288015,
0.0479216604136948,
0.02888462682090719,
-0.02866134312562197,
-0.024576800247544894,
0.023102354178777023,
0.02299645863677158,
-0.021966487793204,
-0.02183638600673133,
0.01881516877676077,
0.017953558530969933,
0.01201063807709343,
0.007139024624088906,
-0.005469397718562193,
0.0033750333916924722,
0.0005384790934741681
],
"Absolute Coefficient": [
0.08577649122266084,
0.06374265580908459,
0.048359492708288015,
0.0479216604136948,
0.02888462682090719,
0.02866134312562197,
0.024576800247544894,
0.023102354178777023,
0.02299645863677158,
0.021966487793204,
0.02183638600673133,
0.01881516877676077,
0.017953558530969933,
0.01201063807709343,
0.007139024624088906,
0.005469397718562193,
0.0033750333916924722,
0.0005384790934741681
]
},
"cv_performance": {
"prediction": {
"accuracy": 70.0,
"precision": 70.0,
"recall": 100.0,
"f1": 81.6969696969697
},
"selection": {
"precision": 0.0,
"recall": 0.0,
"f1": 0.0,
"jaccard": 0.0
}
}
}