Package: iChip 1.59.0

Qianxing Mo

iChip: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

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.

Authors:Qianxing Mo

iChip_1.59.0.tar.gz
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iChip.pdf |iChip.html
iChip/json (API)

# Install 'iChip' in R:
install.packages('iChip', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:iChip-1.59.0(bioc 3.20)iChip-1.58.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

4 exports 2.14 score 2 dependencies 7 mentions

Last updated 2 months agofrom:66009665e5

Exports:enrichregiChip1iChip2lmtstat

Dependencies:limmastatmod

iChip

Rendered fromiChip.Rnwusingutils::Sweaveon Jul 03 2024.

Last update: 2018-09-26
Started: 2013-11-01