BioConductor
gaga 2.26.0
GaGa hierarchical model for high-throughput data analysis
Released Jun 14, 2015 by David Rossell
Dependencies
Biobase 2.40.0 coda 0.19-1 EBarrays 2.44.0 mgcv 1.8-24
Implements the GaGa model for high-throughput data analysis, including differential expression analysis, supervised gene clustering and classification. Additionally, it performs sequential sample size calculations using the GaGa and LNNGV models (the latter from EBarrays package).
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.bioconductor</groupId> <artifactId>gaga</artifactId> <version>2.26.0-b2</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.bioconductor:gaga')
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.