BioConductor
AMOUNTAIN 1.6.0
Active modules for multilayer weighted gene co-expression networks: a continuous optimization approach
Released Nov 12, 2016 by Dong Li
A pure data-driven gene network, weighted gene co-expression network (WGCN) could be constructed only from expression profile. Different layers in such networks may represent different time points, multiple conditions or various species. AMOUNTAIN aims to search active modules in multi-layer WGCN using a continuous optimization approach.
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>AMOUNTAIN</artifactId> <version>1.6.0-b1</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:AMOUNTAIN')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.
- CGPFixSS-examples
- CGPFixSSMultiLayer-examples
- CGPFixSSTwolayer-examples
- EuclideanProjectionENNORM-examples
- moduleIdentificationGPFixSS-examples
- moduleIdentificationGPFixSSMultilayer-examples
- moduleIdentificationGPFixSSTwolayer-examples
- multilayernetworkSimulation-examples
- networkSimulation-examples
- twolayernetworkSimulation-examples