An R package for divergence analysis of omics data

Wikum Dinalankara, Qian Ke, Donald Geman, Luigi Marchionni

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Article numbere0249002
JournalPloS one
Issue number4 April
StatePublished - Apr 2021
Externally publishedYes

ASJC Scopus subject areas

  • General


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