DOI: 10.18129/B9.bioc.facopy    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see facopy.

Feature-based association and gene-set enrichment for copy number alteration analysis in cancer

Bioconductor version: 3.7

facopy is an R package for fine-tuned cancer CNA association modeling. Association is measured directly at the genomic features of interest and, in the case of genes, downstream gene-set enrichment analysis can be performed thanks to novel internal processing of the data. The software opens a way to systematically scrutinize the differences in CNA distribution across tumoral phenotypes, such as those that relate to tumor type, location and progression. Currently, the output format from 11 different methods that analyze data from whole-genome/exome sequencing and SNP microarrays, is supported. Multiple genomes, alteration types and variable types are also supported.

Author: David Mosen-Ansorena

Maintainer: David Mosen-Ansorena <dmosen.gn at cicbiogune.es>

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biocViews CopyNumberVariation, GeneSetEnrichment, Genetics, GenomicVariation, Microarray, Sequencing, Software, Visualization
Version 1.13.0
In Bioconductor since BioC 3.0 (R-3.1) (4 years)
License CC BY-NC 4.0
Depends R (>= 3.0), methods, cgdsr (>= 1.1.30), coin (>= 1.0), ggplot2, gridExtra, facopy.annot, grid
Imports annotate, data.table, DOSE, FactoMineR, GO.db, GOstats, graphite, igraph, S4Vectors, IRanges, MASS, nnet, reshape2, Rgraphviz, scales
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Source Package facopy_1.13.0.tar.gz
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Package Short Url http://bioconductor.org/packages/facopy/
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