GeneCOCOA: Detecting context-specific functions of individual genes using co-expression data
Fig 5
Systematic comparison of GeneCOCOA, DAVID, Correlation AnalyzeR and GeneWalk for their performance in statistically linking disease-relevant genes and GO:BP terms. (A) GeneCOCOA, DAVID, Correlation AnalyzeR (CA) and GeneWalk were each run to identify significantly associated disease-relevant genes from DisGeNet and disease-associated Gene Ontology Biological Process terms (GO:BP) as listed on MalaCards. Genes significantly associated to the matching disease terms were considered true positives (TP), and genes statistically linked to terms from other diseases as false positives (FP). (B) Proportion of true positive associations between disease-relevant genes and matching disease GO:BP terms by GeneCOCOA, GeneWalk, Correlation AnalyzeR and DAVID (AD: Alzheimer’s disease, ALS: Amyotrophic lateral sclerosis, DC: Dilated cardiomyopathy, DM: Diabetes mellitus, MI: Myocardial infarction, MS: Multiple sclerosis). (C) Summary of true positive and false positive gene-term associations per set of disease-relevant genes across all diseases, as computed by GeneCOCOA, GeneWalk, Correlation AnalyzeR and DAVID.