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A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: 2.14

Hidden Markov Models for characterizing chromosomal alterations in high throughput SNP arrays

Author: Robert Scharpf <rscharpf at>, Kevin Scharpf, and Ingo Ruczinski <ingo at>

Maintainer: Robert Scharpf <rscharpf at>

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biocViews CopyNumberVariants, Software
Version 1.26.1
In Bioconductor since BioC 2.1 (R-2.6)
License LGPL-2
Depends R (>= 3.0.0)
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
Depends On Me
Imports Me MinimumDistance
Suggests Me oligoClasses

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