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

Candidate Driver Analysis

Bioconductor version: Development (3.20)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

How to run CaDrA within a Docker Environment HTML
Permutation-Based Testing HTML R Script
Scoring Functions HTML R Script
Reference Manual PDF


biocViews FeatureExtraction, GeneExpression, Microarray, RNASeq, Software
Version 1.3.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
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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Suggests BiocManager, devtools, knitr, pheatmap, rmarkdown, testthat (>= 3.1.6)
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Follow Installation instructions to use this package in your R session.

Source Package CaDrA_1.3.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) CaDrA_1.3.0.tgz
macOS Binary (arm64) CaDrA_1.3.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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