An R package for divergence analysis of omics data.

TitleAn R package for divergence analysis of omics data.
Publication TypeJournal Article
Year of Publication2021
AuthorsDinalankara W, Ke Q, Geman D, Marchionni L
JournalPLoS One
Date Published2021
KeywordsDatabases, Genetic, Genomics, Humans, Neoplasms, Software

Given the ever-increasing amount of high-dimensional and complex omics data becoming available, it is increasingly important to discover simple but effective methods of analysis. Divergence analysis transforms each entry of a high-dimensional omics profile into a digitized (binary or ternary) code based on the deviation of the entry from a given baseline population. This is a novel framework that is significantly different from existing omics data analysis methods: it allows digitization of continuous omics data at the univariate or multivariate level, facilitates sample level analysis, and is applicable on many different omics platforms. The divergence package, available on the R platform through the Bioconductor repository collection, provides easy-to-use functions for carrying out this transformation. Here we demonstrate how to use the package with data from the Cancer Genome Atlas.

Alternate JournalPLoS One
PubMed ID33819273
PubMed Central IDPMC8021195
Grant ListP30 CA006973 / CA / NCI NIH HHS / United States
R01 CA200859 / CA / NCI NIH HHS / United States
Related Faculty: 
Luigi Marchionni, M.D., Ph.D.

Pathology & Laboratory Medicine 1300 York Avenue New York, NY 10065 Phone: (212) 746-6464
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