BioConductor

nnNorm 2.44.0

Spatial and intensity based normalization of cDNA microarray data based on robust neural nets

Released Apr 13, 2010 by Adi Laurentiu Tarca

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

Dependencies

This package allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.

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>nnNorm</artifactId>
    <version>2.44.0-b3</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.bioconductor:nnNorm')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.