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 |
| macOS binaries: | r-release: FacPad_3.0.tgz, r-oldrel: FacPad_3.0.tgz |
| Old sources: | FacPad archive |
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