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Table 1 Overrepresented KEGG pathways using microarrays.

From: Transcript length bias in RNA-seq data confounds systems biology

Term

Count

Pop Hits

PValue

Benjamini

hsa04610:Complement and coagulation cascades

54

68

2.36E-10

5.44E-08

hsa00980:Metabolism of xenobiotics by cytochrome P450

45

65

6.97E-06

5.37E-04

hsa00190:Oxidative phosphorylation

74

121

5.83E-06

6.73E-04

hsa00120:Bile acid biosynthesis

25

36

0.00126

0.0702

hsa00260:Glycine, serine and threonine metabolism

29

45

0.00246

0.107

hsa00591:Linoleic acid metabolism

20

31

0.01496

0.252

hsa00380:Tryptophan metabolism

35

60

0.00764

0.255

hsa05010:Alzheimer's disease

19

29

0.0149

0.271

hsa00363:Bisphenol A degradation

11

14

0.0188

0.287

hsa00020:Citrate cycle (TCA cycle)

18

27

0.0148

0.291

hsa04514:Cell adhesion molecules (CAMs)

65

126

0.0108

0.300

hsa00040:Pentose and glucuronate interconversions

16

23

0.0141

0.305

hsa03320:PPAR signaling pathway

39

70

0.0125

0.305

hsa00650:Butanoate metabolism

26

45

0.0280

0.374

hsa00280:Valine, leucine and isoleucine degradation

25

44

0.03995

0.425

hsa00361:gamma-Hexachlorocyclohexane degradation

15

23

0.0379

0.428

hsa00903:Limonene and pinene degradation

18

29

0.0360

0.432

hsa00230:Purine metabolism

69

143

0.0472

0.462

hsa00071:Fatty acid metabolism

25

45

0.0536

0.488

hsa00670:One carbon pool by folate

11

16

0.0622

0.524

hsa00620:Pyruvate metabolism

23

42

0.0776

0.526

hsa00910:Nitrogen metabolism

14

23

0.0874

0.529

hsa00010:Glycolysis/Gluconeogenesis

31

59

0.0666

0.531

hsa04330:Notch signaling pathway

25

46

0.0703

0.535

hsa00860:Porphyrin and chlorophyll metabolism

21

38

0.0857

0.535

hsa02010:ABC transporters – General

24

44

0.0738

0.537

hsa00150:Androgen and estrogen metabolism

28

53

0.0774

0.539

hsa00410:beta-Alanine metabolism

15

25

0.0838

0.541

hsa00052:Galactose metabolism

18

32

0.0996

0.554

hsa04614:Renin-angiotensin system

11

17

0.0977

0.559

  1. Categories in bold are not found to be overrepresented in the RNA-seq data.