To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("VanillaICE")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Hidden Markov Models for characterizing chromosomal alterations in high throughput SNP arrays
Author: Robert Scharpf <rscharpf at jhsph.edu>, Kevin Scharpf, and Ingo Ruczinski <ingo at jhsph.edu>
Maintainer: Robert Scharpf <rscharpf at jhsph.edu>
Citation (from within R,
enter citation("VanillaICE")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("VanillaICE")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("VanillaICE")
R Script | crlmmDownstream | |
R Script | VanillaICE Vignette | |
Reference Manual | ||
Text | NEWS |
biocViews | Bioinformatics, CopyNumberVariants, GeneticVariability, SNP, Software, Visualization |
Version | 1.24.0 |
In Bioconductor since | BioC 2.1 (R-2.6) |
License | LGPL-2 |
Depends | R (>= 2.14.0) |
Imports | stats, utils, methods, Biobase, oligoClasses(>= 1.21.12), lattice, IRanges(>= 1.13.22), grid, msm, iterators, foreach, GenomicRanges, matrixStats |
Suggests | genomewidesnp6Crlmm(>= 1.0.7), hapmapsnp6, RColorBrewer, genefilter, RSQLite, foreach, RUnit, pd.mapping50k.hind240, SNPchip(>= 2.5.7), doSNOW |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | MinimumDistance |
Suggests Me | oligoClasses |
Follow Installation instructions to use this package in your R session.
Package Source | VanillaICE_1.24.0.tar.gz |
Windows Binary | VanillaICE_1.24.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | VanillaICE_1.24.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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