param

Mean simulation parameters obtained from the analysis of a real dataset

datasets

Implementation of two p-value combination techniques (inverse normal and Fisher methods). A vignette is provided to explain how to perform a meta-analysis from two independent RNA-seq experiments.

Samuel Blanck

metaRNASeq

Meta-Analysis of RNA-Seq Data

Guillemette Marot

Andrea Rau

Florence Jaffrezic

param function

A data frame with 26408 observations on the following 3 variables.<dl>
 <dt><code>mucond1</code></dt>
<dd>a numeric vector with mean parameters for condition 1</dd> <dt><code>mucond2</code></dt>
<dd>a numeric vector with mean parameters for condition 2</dd> <dt><code>DE</code></dt>
<dd>a logical vector indicating which tags are differentially expressed (value 1)</dd> 
</dl>

Format

Mean simulation parameters — param

A data frame with 26408 observations on the following 3 variables.<dl>
 <dt><code>mucond1</code></dt>
<dd>a numeric vector with mean parameters for condition 1</dd>

 <dt><code>mucond2</code></dt>
<dd>a numeric vector with mean parameters for condition 2</dd>

 <dt><code>DE</code></dt>
<dd>a logical vector indicating which tags are differentially expressed (value 1)</dd>

 
</dl>

param: Mean simulation parameters

Description

Usage

Arguments

Format

Details

References

Examples