iFad: An integrative factor analysis model for drug-pathway association inference

This package implements a Bayesian sparse factor model for the joint analysis of paired datasets, one is the gene expression dataset and the other is the drug sensitivity profiles, measured across the same panel of samples, e.g., cell lines. Prior knowledge about gene-pathway associations can be easily incorporated in the model to aid the inference of drug-pathway associations.

Version: 3.0
Depends: R (≥ 2.12.1), Rlab, MASS, coda, ROCR
Published: 2014-03-27
Author: Haisu Ma
Maintainer: Haisu Ma <haisu.ma.pku.2008 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: iFad results

Documentation:

Reference manual: iFad.pdf

Downloads:

Package source: iFad_3.0.tar.gz
Windows binaries: r-devel: iFad_3.0.zip, r-release: iFad_3.0.zip, r-oldrel: iFad_3.0.zip
macOS binaries: r-release (arm64): iFad_3.0.tgz, r-release (x86_64): iFad_3.0.tgz, r-oldrel: iFad_3.0.tgz
Old sources: iFad archive

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