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.

Package details

AuthorHaisu Ma
MaintainerHaisu Ma <haisu.ma.pku.2008@gmail.com>
LicenseGPL (>= 2)
Version3.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FacPad")

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FacPad documentation built on May 2, 2019, 3:46 p.m.