Identification of differentially expressed subnetworks based on multivariate ANOVA

BMC Bioinformatics

Table 1 GO functional annotations for the ten most significant subnetworks (Serum Response data).

Sub-networks	GO annotation	P-value (GO)
F10 F7 TFPI PRSS3 THBS1 FN1 MMP2 LTBP1 SDC2 CD36 F2 SERPING1 C1S	blood coagulation, extrinsic pathway	0
FGF2 FGFR1 CD44 EPB41L3 FGF7 FNDC5 EGFR DEGS1 FNDC4	fibroblast growth factor receptor signaling pathway	0
GNB1 GNG4 GNG2 GNAS SNX13 ADCY9	hormone-mediated signaling	0
MCM7 MCM4 UBE3A MCM6 UBQLN2	DNA replication initiation	0
MAP2K1 ARAF RPS6KA2 ASS MAPK1 KLF11 NEK2 MBP PRKCD	protein amino acid phosphorylation	0
CEBPA CDK2 ATF2 MAPK11 DUSP14 NR3C1 HNRPU BCL2 PCNA TGFB1I1 SMARCA2	regulation of DNA replication	0.000003
COL4A2 CD93 CD44 FGF2 FGFR1 EPB41L3 FNDC5 EGFR DEGS1 FNDC4 KRT17 CAMLG	cell-cell adhesion	0.000003
DYNLL1 DNMT1 NOS1 TXNL5 BDKRB2 PCNA MSH3 RFC1 DCC1 CDK2 PARD3 CALM2	regulation of DNA replication	0.000004
SDC3 FGF2 FGFR1 FNDC5 COL6A2 COL1A1 ITGA2 BGN P4HB API5	fibroblast growth factor receptor signaling pathway	0.000109
CSPG2 CD44 FGF2 FGFR1 EPB41L3 COL1A1 P4HB FNDC5 COL6A2 FNDC4 SDC3 MMP2	fibroblast growth factor receptor signaling pathway	0.000159

GO terms are enriched for the identified subnetworks. P-values are the results of GO term enrichment analyses. The well-known biological processes related to wound healing are denoted by bold-faced letters.

ISSN: 1471-2105