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.


Reference manual

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3.0 by Haisu Ma, 7 years ago

Browse source code at

Authors: Haisu Ma

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on Rlab, MASS

See at CRAN