Table 5.

Selected features of multiple omics data (TCGA) via the integrative deep learning.

Three multiomics data of breast cancer (TCGA)
ABCA3 ABCA6 ABCC8 ABCG1 ACOT4 ACP5 ACSM1 ADAM8 ADRA2A AEBP1
AGR2 ALDH2 ASPN BCAS4 BNIPL C12orf54 C1orf64 CALB2 CAPSL CCDC80
CD36 CLDN3 CLDN8 CXCL13 CYP21A2 DACH1 DEFB1 DKK2 DNALI1 DSC2
DYX1C1 ENPEP ERP27 ESR1 ESRRG FAM3D FRK GBP1 IGFALS IL22RA2
LRRN2 OXGR1 PEX11 A PTH2R ROR2 SELE SORBS2 SPATA18 SYT9 TBC1D9
TBX21 TCN1 TFAP2B TNIP3 TOB1 TSPYL5 VCAN VGLL1 ZFP2

^∗This gene set is significantly enriched in the ABC transporters and CAMs (KEGG) (ABC transporters: p value=8.489e − 07; Cell adhesion molecules (CAMs): p value=8e − 03).