This is the development version of ADaCGH2; for the stable release version, see ADaCGH2.
Analysis of big data from aCGH experiments using parallel computing and ff objectsBioconductor version: Development (3.22)
Analysis and plotting of array CGH data. Allows usage of Circular Binary Segementation, wavelet-based smoothing (both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar), HMM, GLAD, CGHseg. Most computations are parallelized (either via forking or with clusters, including MPI and sockets clusters) and use ff for storing data.
Author: Ramon Diaz-Uriarte <rdiaz02 at gmail.com> and Oscar M. Rueda <rueda.om at gmail.com>. Wavelet-based aCGH smoothing code from Li Hsu <lih at fhcrc.org> and Douglas Grove <dgrove at fhcrc.org>. Imagemap code from Barry Rowlingson <B.Rowlingson at lancaster.ac.uk>. HaarSeg code from Erez Ben-Yaacov; downloaded from <http://www.ee.technion.ac.il/people/YoninaEldar/Info/software/HaarSeg.htm>. Code from ffbase <https://github.com/edwindj/ffbase> by Edwin de Jonge <edwindjonge at gmail.com>, Jan Wijffels, Jan van der Laan.
Maintainer: Ramon Diaz-Uriarte <rdiaz02 at gmail.com>
Citation (from within R, entercitation("ADaCGH2")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ADaCGH2")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ADaCGH2")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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