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This package is for version 3.4 of Bioconductor;
for the stable, up-to-date release version, see
VanillaICE.
A Hidden Markov Model for high throughput genotyping arrays
Bioconductor version: 3.4
Hidden Markov Models for characterizing chromosomal alterations in high throughput SNP arrays.
Author: Robert Scharpf <rscharpf at jhu.edu>, Kevin Scharpf, and Ingo Ruczinski <ingo at jhsph.edu>
Maintainer: Robert Scharpf <rscharpf at jhsph.edu>
Citation (from within R,
enter citation("VanillaICE")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("VanillaICE")
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("VanillaICE")
Details
| biocViews | CopyNumberVariation, Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 2.1 (R-2.6) (9.5 years) |
| License | LGPL-2 |
| Depends | R (>= 3.0.0), BiocGenerics(>= 0.13.6), GenomicRanges(>= 1.19.47), SummarizedExperiment(>= 0.2.0) |
| Imports | Biobase, S4Vectors(>= 0.9.25), IRanges(>= 1.14.0), oligoClasses(>= 1.31.1), foreach, matrixStats, data.table, grid, lattice, methods, GenomeInfoDb, crlmm, tools, stats, utils, BSgenome.Hsapiens.UCSC.hg18 |
| LinkingTo | |
| Suggests | RUnit, SNPchip, human610quadv1bCrlmm, ArrayTV |
| SystemRequirements | |
| Enhances | doMC, doMPI, doSNOW, doParallel, doRedis |
| URL | |
| Depends On Me | MinimumDistance |
| Imports Me | |
| Suggests Me | CNPBayes, oligoClasses |
| Build Report |
Package Archives
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Installation instructions to use this
package in your R session.
Read more here: Source link
