Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.36.0
Date: 2018-9-26
Depends: R (>= 2.10.0)
Imports: limma
Author: Qianxing Mo
Maintainer: Qianxing Mo <qianxing.mo@moffitt.org>
Description: Hidden Ising models are implemented to identify enriched
        genomic regions in ChIP-chip data.  They can be used to analyze
        the data from multiple platforms (e.g., Affymetrix, Agilent,
        and NimbleGen), and the data with single to multiple
        replicates.
LazyData: yes
License: GPL (>= 2)
Packaged: 2018-10-31 01:26:26 UTC; biocbuild
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
git_url: https://git.bioconductor.org/packages/iChip
git_branch: RELEASE_3_8
git_last_commit: 873f708
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: yes
Built: R 3.5.1; i386-w64-mingw32; 2018-10-31 11:22:56 UTC; windows
Archs: i386, x64
