Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.50.0
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: 2022-04-26 23:18:00 UTC; biocbuild
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
git_url: https://git.bioconductor.org/packages/iChip
git_branch: RELEASE_3_15
git_last_commit: c555d7b
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
NeedsCompilation: yes
Built: R 4.2.0; x86_64-w64-mingw32; 2022-04-27 09:37:11 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
