iFad 3.0

An integrative factor analysis model for drug-pathway association inference

Released Mar 27, 2014 by Haisu Ma

This package can be loaded by Renjin but 5 out 27 tests failed.


coda 0.19-1 Rlab 2.15.1 MASS 7.3-50 ROCR 1.0-7

This package implements a Bayesian sparse factor model for the joint analysis of paired datasets, one is the gene expression dataset and the other is the drug sensitivity profiles, measured across the same panel of samples, e.g., cell lines. Prior knowledge about gene-pathway associations can be easily incorporated in the model to aid the inference of drug-pathway associations.



This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

    <name>bedatadriven public repo</name>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:


Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.



View GitHub Mirror

Release History