CRAN

gPCA 1.0

Batch Effect Detection via Guided Principal Components Analysis

Released Jul 31, 2013 by Sarah Reese

This package implements guided principal components analysis for the detection of batch effects in high-throughput data.

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>gPCA</artifactId>
    <version>1.0-b243</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

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

library('org.renjin.cran:gPCA')

Test Results

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

• CumulativeVarPlot-examples
• PCplot-examples
• caseDat-examples
• gDist-examples
• gPCA.batchdetect-examples

Source

View GitHub Mirror

Release History

• 1.0