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Table 4 Selected GO terms in HCV dataset

From: Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles

GO term

Genes

Count

p value

Cluster

Repeat:3

ADAM30, GFRA1, PSRC1

3

0.036

#1

Repeat:1

ADAM30, GFRA1, PSRC1

3

0.046

#1

Repeat:2

ADAM30, GFRA1, PSRC1

3

0.047

#1

Proteinaceous extracellular matrix

EFEMP1, WNT5A, KERA, OLFML2B

4

0.007

#2

Disulfide bond

ADAM3, EFEMP1, GFRA1, KLRC4-KLRK1, WNT5A, CACNA1A, IGLL1, KERA, OLFML2B, PRPH2

10

0.026

#2

Extracellular matrix

EFEMP1, WNT5A, KERA

3

0.045

#2

Disease mutation

EFEMP1, WNT5A, ACAT1, CACNA1A, CCND2, IGLL1, KERA, PRPH2, KCNK3, SRD5A2

10

0.039

Not belong

Polymorphism

AKAP5, ADAM30, EFEMP1, GFRA1, KLRC4-KLRK1, MAGEA10, ACAT1, CACNA1A, CAMTA1, CCND2, EIF3F, IGLL1, MED24, OLFML2B, OGDHL, PRPH2, PSRC1, PCDHGA3, SRD5A2, ZNF43, ZNF512B, ZNF711

22

0.030

Not belong

Visual perception

EFEMP1, KERA, PRPH2

3

0.036

Not belong

Positive regulation of transcription, DNA-templated

WNT5A, MED24, PSRC1, ZNF711

4

0.040

Not belong

  1. These terms have lower p values than 0.05 (significance level). Thirty-one GO terms belong to four clusters. On the other hand, 13 GO terms do not belong. The clusters were generated during the GO analysis