GenoTEX / output /regress /Bile_Duct_Cancer /significant_genes_condition_None.json
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{
"significant_genes": {
"Variable": [
"ZGPAT",
"TCAIM",
"ARID3C",
"KCNN2",
"PRSS16",
"IVD",
"ADI1",
"PLGLA",
"KATNIP",
"E2F1",
"CDC45",
"DNAJC25",
"CCDC196",
"RCL1",
"TRPC5",
"DLGAP5",
"PEMT",
"MSMO1"
],
"Coefficient": [
-0.04720679626366101,
-0.04583249301502681,
-0.045460847362207214,
-0.02821222795751994,
0.022578488700603225,
-0.02022375886673288,
-0.0182693179956585,
-0.0145519849674621,
0.014156270874986257,
0.01143367412492658,
0.008926851228197604,
-0.008227933799922043,
-0.008217021581695662,
-0.004751174338347259,
-0.004739988851643141,
0.0035211596826912545,
-0.0023835735139090984,
-0.001859035060110199
],
"Absolute Coefficient": [
0.04720679626366101,
0.04583249301502681,
0.045460847362207214,
0.02821222795751994,
0.022578488700603225,
0.02022375886673288,
0.0182693179956585,
0.0145519849674621,
0.014156270874986257,
0.01143367412492658,
0.008926851228197604,
0.008227933799922043,
0.008217021581695662,
0.004751174338347259,
0.004739988851643141,
0.0035211596826912545,
0.0023835735139090984,
0.001859035060110199
]
},
"cv_performance": {
"prediction": {
"accuracy": 100.0,
"precision": 100.0,
"recall": 100.0,
"f1": 100.0
},
"selection": {
"precision": 0.0,
"recall": 0.0,
"f1": 0.0,
"jaccard": 0.0
}
}
}