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Table 6 Some example of identified complexes with low p-value detected by EWCA method on different datasets

From: Identifying protein complexes based on an edge weight algorithm and core-attachment structure

Dataset

ID

P-value(BP)

Cluster frequency

Gene ontology term

BioGRID

1

8.83e-108

62 of 66 genes, 93.9%

mRNA splicing, via spliceosome

 

2

2.68e-106

70 of 71 genes, 98.6%

cytoplasmic translation

 

3

1.09e-80

78 of 92 genes, 84.8%

chromatin organization

 

4

2.11e-72

55 of 88 genes, 62.5%

ribosomal large subunit biogenesis

 

5

2.48e-78

83 of 102 genes, 81.4%

ribosome biogenesis

DIP

1

4.62e-32

14 of 16 genes, 87.5%

mRNA polyadenylation

 

2

1.54e-31

24 of 25 genes, 96.0%

mRNA processing

 

3

2.96e-25

15 of 23 genes, 65.2%

maturation of LSU-rRNA from tricistronic rRNA transcript

 

4

1.80e-28

16 of 18 genes, 88.9%

histone acetylation

 

5

5.58e-29

12 of 13 genes, 92.3%

ATP biosynthetic process