BioConductor

TCC 1.20.1

TCC: Differential expression analysis for tag count data with robust normalization strategies

This package can be loaded by Renjin but 16 out 21 tests failed.

Dependencies

DESeq2 1.20.0 ROC 1.56.0 DESeq 1.32.0 edgeR 3.22.3 baySeq 2.14.0

This package provides a series of functions for performing differential expression analysis from RNA-seq count data using robust normalization strategy (called DEGES). The basic idea of DEGES is that potential differentially expressed genes or transcripts (DEGs) among compared samples should be removed before data normalization to obtain a well-ranked gene list where true DEGs are top-ranked and non-DEGs are bottom ranked. This can be done by performing a multi-step normalization strategy (called DEGES for DEG elimination strategy). A major characteristic of TCC is to provide the robust normalization methods for several kinds of count data (two-group with or without replicates, multi-group/multi-factor, and so on) by virtue of the use of combinations of functions in depended packages.

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>TCC</artifactId>
    <version>1.20.1-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>

View build log

Renjin CLI

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

library('org.renjin.bioconductor:TCC')

Test Results

This package was last tested against Renjin 0.9.2689 on Aug 27, 2018.