Package: iChip
Title: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Version: 1.44.0
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: 2020-10-28 00:57:19 UTC; biocbuild
biocViews: ChIPchip, OneChannel, AgilentChip, Microarray
git_url: https://git.bioconductor.org/packages/iChip
git_branch: RELEASE_3_12
git_last_commit: cee2370
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: yes
Built: R 4.0.3; x86_64-conda-linux-gnu; 2020-10-30 11:19:13 UTC; unix
