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Table 2 The best performing methods and settings (according to the AUC) per dataset

From: Benchmark study of feature selection strategies for multi-omics data

Dat

Selector

nvar

selsep

clivar

BLCA

mRMR

100

Yes

Yes

BRCA

Lasso

–

No

Yes

COAD

mRMR

10

No

Yes

ESCA

infor

1000

No

No

HNSC

mRMR

10

Yes

Yes

LGG

Lasso

–

No

No

LIHC

mRMR

100

Yes

Yes

LUAD

mRMR

100

No

No

LUSC

Rfe

–

No

No

PAAD

mRMR

10

Yes

Yes

PRAD

mRMR

100

yes

Yes

SARC

GA

–

Yes

Yes

SKCM

mRMR

100

No

No

STAD

RF-VI

100

Yes

No

UCEC

Lasso

–

Yes

No

  1. Here, ‘nvar’ denotes the number of selected features, ‘selsep’ whether the features were selected separately by data type, and ‘clivar’ whether clinical variables were included or not