Skip to main content

Table 1 30 top-ranked KEGG pathways using a prior probability of 0.05

From: A Bayesian variable selection procedure to rank overlapping gene sets

KEGG pathway

Number of genes

Posterior probability of being included in the model

Odds ratio

Variance per gene (10^-3)

ABC transporters

24

1

Infinity

4.24

Lysosome

90

1

Infinity

3.56

Proteasome

40

1

Infinity

3.53

Complement and coagulation cascades

53

1

Infinity

3.13

RIG-I-like receptor signaling pathway

44

1

Infinity

2.80

ECM-receptor interaction

63

1

Infinity

2.59

Cell adhesion molecules (CAMs)

95

1

Infinity

2.50

Axon guidance

79

1

Infinity

2.46

SNARE interactions in vesicular transport

31

1

Infinity

2.39

RNA degradation

49

1

Infinity

2.39

Ubiquitin mediated proteolysis

105

1

Infinity

2.34

Neuroactive ligand-receptor interaction

125

1

Infinity

2.27

PPAR signaling pathway

58

1

Infinity

2.16

Ribosome

76

1

Infinity

2.15

MAPK signaling pathway

179

1

Infinity

2.11

Aminoacyl-tRNA biosynthesis

34

1

Infinity

2.08

Endocytosis

139

1

Infinity

2.08

Fc gamma R-mediated phagocytosis

70

1

Infinity

2.00

Insulin signaling pathway

97

1

Infinity

1.88

Cell cycle

96

1

Infinity

1.85

Notch signaling pathway

31

1

Infinity

1.73

Cytokine-cytokine receptor interaction

115

1

Infinity

1.69

Chemokine signaling pathway

138

1

Infinity

1.58

Metabolic pathways

793

1

Infinity

1.47

Tight junction

97

0.938

288

1.11

Purine metabolism

117

0.927

240

1.16

Chronic myeloid leukemia

58

0.919

215

1.27

Pathways in cancer

227

0.847

105

0.945

Basal transcription factors

23

0.826

90.3

1.28

Circadian rhythm - mammal

5

0.590

27.4

1.77

  1. “Odds ratio” indicates the odds ratio between the prior and posterior probability of being included in the model. “Variance per gene” means the estimated variance of the t-statistic per gene. The gene sets are ranked primarily according to the posterior probabilities and secondarily according to the variance per gene.