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.
Package details |
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Bioconductor views | FeatureExtraction GeneExpression Microarray RNASeq Software |
Maintainer | |
License | GPL-3 + file LICENSE |
Version | 1.0.2 |
URL | https://github.com/montilab/CaDrA/ |
Package repository | View on GitHub |
Installation |
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