facopy
This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
This package is for version 3.8 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see facopy.
Feature-based association and gene-set enrichment for copy number alteration analysis in cancer
Bioconductor version: 3.8
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>
citation("facopy")
):
Installation
To install this package, start R (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("facopy")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | CopyNumberVariation, GeneSetEnrichment, Genetics, GenomicVariation, Microarray, Sequencing, Software, Visualization |
Version | 1.16.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (9.5 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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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
Mac OS X 10.11 (El Capitan) | |
Source Repository | git clone https://git.bioconductor.org/packages/facopy |
Source Repository (Developer Access) | git clone [email protected]:packages/facopy |
Package Short Url | https://bioconductor.org/packages/facopy/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.8 | Source Archive |