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Table 1 KEGG and GO enrichment analysis

From: miRNAs and sports: tracking training status and potentially confounding diagnoses

Category

Database

Target genes on category

Expectation value

Enrichment

p value

Melanoma

KEGG

17

3.7

4.6

3.10E−06

Bladder cancer

KEGG

13

2.4

5.4

1.36E−05

Cell cycle

KEGG

19

5.3

3.6

1.83E−05

Glioma

KEGG

15

3.4

4.4

1.83E−05

G1_phase(4) & mitotic_G1_phase(5)

GO

11

1.3

8.3

2.34E−05

Viral carcinogenesis

KEGG

20

6.0

3.3

2.59E−05

Pancreatic cancer

KEGG

16

4.1

4.0

2.72E−05

Chronic myeloid leukemia

KEGG

17

4.6

3.7

3.04E−05

Non-small cell lung cancer

KEGG

12

3.1

3.9

5.86E−04

p53 signaling pathway

KEGG

11

3.2

3.4

3.44E−03

Thyroid cancer

KEGG

6

1.4

4.3

2.67E−02

Biological_phase(2)

GO

15

4.9

3.1

4.68E−02

Cell_cycle_phase(3)&mitotic_cell_cycle_phase(4)

GO

15

4.6

3.3

4.68E−02

Cell_maturation(5)

GO

14

4.2

3.3

4.68E−02

Regulation_of_fibroblast_proliferation(5)

GO

12

3.3

3.6

4.68E−02

Positive_regulation_of_fibroblast_proliferation(5)

GO

10

2.3

4.3

4.68E−02

Interphase(4)

GO

9

1.9

4.8

4.68E−02

Hair_follicle_morphogenesis(4)

GO

7

1.2

6.0

4.68E−02

  1. Significant categories containing at least three times more genes than expected by chance. Provided are the category name, the database where data have been extracted, the number of targets genes of the 63 miRNAs of this category, the expected number of genes given the 2098 background genes, the enrichment factor, and the p value following adjustment for multiple testing