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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