CRAN

QuantNorm 1.0.5

Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection

Released Feb 1, 2019 by Teng Fei

This package can be loaded by Renjin but all tests failed.

Modifies the distance matrix obtained from data with batch effects, so as to improve the performance of sample pattern detection, such as clustering, dimension reduction, and construction of networks between subjects. The method has been published in Bioinformatics (Fei et al, 2018, ). Also available on 'GitHub' .

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>QuantNorm</artifactId>
    <version>1.0.5-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>

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Renjin CLI

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

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

Test Results

This package was last tested against Renjin 0.9.2719 on Feb 3, 2019.

Source

R

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Release History