process.QuantileNormalization

QuantileNormalization.process

process,QuantileNormalization-method

methods

internal

A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samples regardless of computer system.  The only parameter that limits the number of chips that can be processed is the amount of available disk space.  The Aroma Framework has successfully been used in studies to process tens of thousands of arrays.  This package has actively been used since 2006.

Henrik Bengtsson

aroma.affymetrix

Analysis of Large Affymetrix Microarray Data Sets

James Bullard

Kasper Hansen

Pierre Neuvial

Elizabeth Purdom

Mark Robinson

Ken Simpson

process.QuantileNormalization function

<dl> <dt>...</dt>
<dd>Not used.</dd> <dt>force</dt>
<dd>If <code><a href="/link/TRUE?package=aroma.affymetrix&version=3.2.2" data-mini-rdoc="aroma.affymetrix::TRUE">TRUE</a></code>, data already normalized is re-normalized,
 otherwise not.</dd> <dt>verbose</dt>
<dd>See <code>Verbose</code>.</dd></dl>

Arguments

Normalizes the data set — process.QuantileNormalization

<dl>

 <dt>...</dt>
<dd>Not used.</dd>

 <dt>force</dt>
<dd>If <code><a href='https://rdrr.io/r/base/logical.html'>TRUE</a></code>, data already normalized is re-normalized,
 otherwise not.</dd>

 <dt>verbose</dt>
<dd>See <code>Verbose</code>.</dd>

</dl>

Normalizes the data set

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process.QuantileNormalization: Normalizes the data set

Description

Usage

Value

Arguments

See Also