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.

AuthorHaisu Ma
Date of publication2014-03-28 00:31:36
MaintainerHaisu Ma <haisu.ma.pku.2008@gmail.com>
LicenseGPL (>= 2)
Version3.0

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Files

FacPad
FacPad/NAMESPACE
FacPad/data
FacPad/data/matrixL.rda
FacPad/data/matrixY.rda
FacPad/R
FacPad/R/gibbs_sampling.R FacPad/R/gibbs2.R
FacPad/MD5
FacPad/DESCRIPTION
FacPad/man
FacPad/man/FacPad-package.Rd FacPad/man/matrixL.Rd FacPad/man/matrixY.Rd FacPad/man/gibbs2.Rd FacPad/man/gibbs_sampling.Rd

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