CRAN
iFad 3.0
An integrative factor analysis model for drug-pathway association inference
Released Mar 27, 2014 by Haisu Ma
Dependencies
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.
Installation
Maven
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.
<dependencies>
<dependency>
<groupId>org.renjin.cran</groupId>
<artifactId>iFad</artifactId>
<version>3.0-b42</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>bedatadriven</id>
<name>bedatadriven public repo</name>
<url>https://nexus.bedatadriven.com/content/groups/public/</url>
</repository>
</repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:iFad')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.
- ROC_plot-examples
- Y1_mean-examples
- Y2_mean-examples
- Ymean_compare-examples
- data_simulation-examples
- gibbs_sampling-examples
- iFad-package-examples
- label_chain-examples
- matrixL1-examples
- matrixL2-examples
- matrixPi1-examples
- matrixPi2-examples
- matrixPr_chain-examples
- matrixW1-examples
- matrixW2-examples
- matrixW_chain-examples
- matrixX-examples
- matrixX_chain-examples
- matrixY1-examples
- matrixY2-examples
- matrixZ1-examples
- matrixZ2-examples
- matrixZ_chain-examples
- mcmc_trace_plot-examples
- sigma1-examples
- sigma2-examples
- tau_g_chain-examples