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Table 10 Indicative biological pathways associated with the candidate aging genes

From: Genome-wide prediction and prioritization of human aging genes by data fusion: a machine learning approach

Index

Name

P-value

Adjusted p-value

Z-score

Combined score

1

Pathways in cancer_Homo sapiens_hsa05200

4.07e-41

1.19e-38

−2.11

196.21

2

Proteoglycans in cancer_Homo sapiens_hsa05205

1.91e-31

2.78e-29

−1.99

140.58

3

Epstein-Barr virus infection_Homo sapiens_hsa05169

3.24e-30

3.15e-28

−1.9

128.92

4

Endocytosis_Homo sapiens_hsa04144

1.19e-28

8.70e-27

−1.89

121.38

5

Regulation of actin cytoskeleton_Homo sapiens_hsa04810

4.30e-26

2.51e-24

−1.82

106.42

6

HTLV-I infection_Homo sapiens_hsa05166

1.01e-25

4.21e-24

−1.79

103.2

7

Protein processing in endoplasmic reticulum_Homo sapiens_hsa04141

7.55e-26

3.68e-24

−1.69

98.04

8

Herpes simplex infection_Homo sapiens_hsa05168

1.24e-25

4.54e-24

−1.61

92.36

9

PI3K-Akt signaling pathway_Homo sapiens_hsa04151

1.79e-22

4.96e-21

−1.83

91.82

10

Focal adhesion_Homo sapiens_hsa04510

1.12e-22

3.63e-21

−1.72

86.98