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This is the development version of CaDrA; for the stable release version, see CaDrA.

Candidate Driver Analysis

Bioconductor version: Development (3.19)

Performs both stepwise and backward heuristic search for candidate (epi)genetic drivers based on a binary multi-omics dataset. CaDrA's main objective is to identify features which, together, are significantly skewed or enriched pertaining to a given vector of continuous scores (e.g. sample-specific scores representing a phenotypic readout of interest, such as protein expression, pathway activity, etc.), based on the union occurence (i.e. logical OR) of the events.

Author: Reina Chau [aut, cre] , Katia Bulekova [aut] , Vinay Kartha [aut], Stefano Monti [aut]

Maintainer: Reina Chau <rchau88 at>

Citation (from within R, enter citation("CaDrA")):


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Reference Manual PDF


biocViews FeatureExtraction, GeneExpression, Microarray, RNASeq, Software
Version 1.1.2
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License GPL-3 + file LICENSE
Depends R (>= 4.3.0)
Imports doParallel, ggplot2, gplots, graphics, grid, gtable, MASS, methods, misc3d, plyr, ppcor, R.cache, reshape2, stats, SummarizedExperiment
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