Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables.  Includes dream differential expression analysis for repeated measures.

Quantify and interpret divers of variation in multilevel gene
expression experiments

package-ubuntu-20.04-r-4.0.5#cran#variancePartition-1.20.0

## S4 method for signature 'MArrayLM2'
residuals(object, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>MArrayLM2 object from dream</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>other arguments, currently ignored</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#variancePartition-1.20.0#docs#residuals-MArrayLM2-method

residuals-MArrayLM2-method

Description

Usage

Arguments

Value

variancePartition

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`object`	MArrayLM2 object from dream
`...`	other arguments, currently ignored