FacPad (version 3.0)

FacPad-package: Sparse factor modeling for the inference of drug-responsive pathways

Description

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.

Details

Package:

FacPad

Type:

Package

Version:

2.0

Date:

2014-03-25

License:

GPL (>= 2)

LazyLoad:

yes

install.packages("FacPad")

Examples

data(matrixY)
data(matrixL)
result<-gibbs_sampling(matrixY,matrixL,max_iter=30,
thin=10,file_name="test_30iter.RData")

result2<-gibbs2(matrixY,matrixL,eta0=0.2,eta1=0.2,
max_iter=50,thin=10,file_name="test_v2_50iter.RData")