Research Paper Volume 16, Issue 16 pp 11824—11842
Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach
Figure 3. Functional enrichment analysis and PPI analysis. (A) Molecular function (MF) analysis (top 20 terms ranked by statistical significance). (B) Biological processes (BP) analysis (top 20 terms ranked by statistical significance). (C) Cellular component (CC) analysis (top 20 terms ranked by statistical significance). (D) KEGG pathway enrichment analysis (top 20 terms ranked by statistical significance). (E) The interaction of BPs and their associated CRGs. (F) The interaction of KEGG signaling pathways and their associated CRGs. (G) Gene set enrichment analysis (GSEA) on BPs associated with circadian rhythm. (H) Gene set enrichment analysis (GSEA) on a KEGG pathway associated with circadian rhythm. (I) The PPI network of 125 melanoma-related CRGs. Nodes are colored by degree, with redder colors indicating higher degree centrality within the network.