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Table 6 Functional enrichment analysis

From: MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments

 

Description

N Genes

N Genes

N

Fold

  

in Set

in DEG List

Expected

Enrichment

GO Terms

0019221

cytokine-mediated

659

110

42.28

2.6

 

signaling pathway

0043312

neutrophil degranulation

483

88

30.99

2.84

0045088

regulation of innate

434

75

27.84

2.69

 

immune response

0001817

regulation of cytokine

676

98

43.37

2.26

 

production

0002684

positive regulation of

1125

137

72.17

1.9

 

immune system process

0010608

post-transcriptional

512

77

32.85

2.34

 

regulation of gene

 

expression

0016032

viral process

690

93

44.27

2.1

1903706

regulation of hemopoiesis

442

69

28.36

2.43

0051248

negative regulation of

1087

128

69.74

1.84

 

protein metabolic process

0033554

cellular response to stress

1662

175

106.63

1.64

0046649

lymphocyte activation

369

60

23.67

2.53

0002683

negative regulation of

434

66

27.84

2.37

 

immune system process

0034660

ncRNA metabolic process

542

76

34.77

2.19

0034341

response to interferon-

182

38

11.68

3.25

 

gamma

Previously Published Gene Sets

Blankley

 

327

123

30.4

4.1

Kafouru

 

18

13

1.7

7.8

Zak

 

14

9

1.3

6.9

  1. Top GO terms were selected as follows: the top 50 GO terms were selected by p-value
  2. The list was then reduced to include only the most specific subclass in an ontology
  3. All results included had BH adjusted p-values <0.0001