Identification of differentially expressed subnetworks based on multivariate ANOVA

BMC Bioinformatics

Table 2 GO functional annotations for the ten most significant subnetworks (Prostate Cancer Metastasis data).

Sub-networks	GO annotation	P-value (GO)
ACVR1 SMAD5 SMAD4 TFE3 DACH1 SPTBN1 JUN BMP2 SKIL MGP	BMP signaling pathway	0
ACVR1B TGFB3 TGFB1 BGN ITGAV ACVR2A BMP7	epithelial to mesenchymal transition	0
ACVR2A BMP6 SMAD5 SMAD4 ACVR1 ACVR1B TGFB1	BMP signaling pathway	0
AKT2 PIK3R1 MME NRAS PIP5K2A TUBG1 NFKB1 TRIP4 PIK3C2B VAV2 CEBPB PIK4CA EGR1	phosphoinositide phosphorylation	0
ARF1 TMED2 TMED10 ARFGAP1 AP1G1 AFTIPHILIN PSCD2	vesicle-mediated transport	0
BMP2 TGFB1 ITGAV BGN GLI2 LTBP1 TGFB3 BMP7 CSNK1A1 PRKY	epithelial to mesenchymal transition	0
BMP6 SMAD5 SMAD4 ACVR1 ACVR2A ACVR1B NCOA3 MYC GTF2B PCAF SMAD2	BMP signaling pathway	0
BMP7 ACVR1 SMAD5 SMAD4 ACVR2A ACVR1B TGFB1 BMP6 BMP2 TGFB3	epithelial to mesenchymal transition	0
CANX MBTPS1 ITGB1 CD46 LGALS3BP ITGAV ITGB1BP1 PXN SERP1 ITGA8	cell-matrix adhesion	0
CAV1 PTPRF JUP ITGB4 COL17A1 NID1 LGALS3BP IRS1 FRS2 EDG1 PLEC1 APP TGFB1 CALR APPBP1	cell adhesion	0

GO terms are enriched for identified sub-networks. P-values are the results of GO term enrichment analyses. The well-known biological processes related to prostate cancer metastasis are denoted by bold-faced letters.

ISSN: 1471-2105