FacPad: Bayesian Sparse Factor Analysis model for the inference of pathways responsive to drug treatment

This method tries to explain the gene-wise treatment response ratios in terms of the latent pathways. It uses bayesian sparse factor modeling to infer the loadings (weights) of each pathway on its associated probesets as well as the latent factor activity levels for each treatment.

Version: 3.0
Depends: R (≥ 2.12.1), Rlab, MASS
Published: 2014-03-28
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: FacPad results


Reference manual: FacPad.pdf
Package source: FacPad_3.0.tar.gz
Windows binaries: r-devel: FacPad_3.0.zip, r-release: FacPad_3.0.zip, r-oldrel: FacPad_3.0.zip
OS X Snow Leopard binaries: r-release: FacPad_3.0.tgz, r-oldrel: FacPad_3.0.tgz
OS X Mavericks binaries: r-release: FacPad_3.0.tgz
Old sources: FacPad archive