![]() ![]() In particular, MoonlightR can be used to discover OCGs and TSGs in the same cancer type. TSG in one cancer type and OCG in another) but also helps in elucidating the biological processes underlying their specific roles. As a consequence, this methodology does not only identify genes playing a dual role (e.g. ![]() Eventually, by means of random forests, MoonlightR predicts two specific roles for the candidate driver genes: i) tumor suppressor genes (TSGs) and ii) oncogenes (OCGs). The method first infers gene regulatory networks and then carries out a functional enrichment analysis (FEA) (implementing an upstream regulator analysis, URA) to score the importance of well-known biological processes with respect to the studied cancer type. ![]() Results: We present an R/bioconductor package called MoonlightR which returns a list of candidate driver genes for specific cancer types on the basis of TCGA expression data. Motivation: The understanding of cancer mechanism requires the identification of genes playing a role in the development of the pathology and the characterization of their role (notably oncogenes and tumor suppressors). DOI: 10.18129/B9.bioc.MoonlightR Identify oncogenes and tumor suppressor genes from omics data ![]()
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