AbstractCurveNormalization

An <code><a href="/link/AromaUnitTotalCnBinarySet?package=aroma.cn&version=1.3.0&to=aroma.core" rd-options="aroma.core" data-mini-rdoc="aroma.core::AromaUnitTotalCnBinarySet">AromaUnitTotalCnBinarySet</a></code> of
 "test" samples to be normalized.

dataSet

An <code><a href="/link/AromaUnitTotalCnBinarySet?package=aroma.cn&version=1.3.0&to=aroma.core" rd-options="aroma.core" data-mini-rdoc="aroma.core::AromaUnitTotalCnBinarySet">AromaUnitTotalCnBinarySet</a></code> of
 paired target samples.

targetSet

The subset of loci to be used to fit the
 normalization functions.
 If <code><a href="/link/NULL?package=aroma.cn&version=1.3.0&to=base" rd-options="base" data-mini-rdoc="base::NULL">NULL</a></code>, loci on chromosomes 1-22 are used, but not on ChrX and ChrY.

subsetToFit

(Optional) Sets the tags for the output data sets.

copyTarget

Package: aroma.cn Class AbstractCurveNormalization<code><a href="/link/Object?package=aroma.cn&version=1.3.0&to=R.oo" rd-options="R.oo" data-mini-rdoc="R.oo::Object">Object</a></code><code>~~|</code><code>~~+--</code><code>AbstractCurveNormalization</code>Directly known subclasses:<a href="/link/PrincipalCurveNormalization?package=aroma.cn&version=1.3.0&to=aroma.cn" rd-options="aroma.cn" data-mini-rdoc="aroma.cn::PrincipalCurveNormalization">PrincipalCurveNormalization</a>, <a href="/link/XYCurveNormalization?package=aroma.cn&version=1.3.0&to=aroma.cn" rd-options="aroma.cn" data-mini-rdoc="aroma.cn::XYCurveNormalization">XYCurveNormalization</a>public abstract static class AbstractCurveNormalizationextends <a href="/link/Object?package=aroma.cn&version=1.3.0&to=R.oo" rd-options="R.oo" data-mini-rdoc="R.oo::Object">Object</a>

classes

Analysis of copy-number estimates obtained from various
        platforms.

Henrik Bengtsson

aroma.cn

Copy-number analysis of large microarray data sets

AbstractCurveNormalization function

Methods:<tabular>rll</tabular>{
 	<code>getFullName</code> 	-	<code>getInputDataSet</code> 	-	<code>getName</code> 	-	<code>getOutputDataSet</code> 	-	<code>getTags</code> 	-	<code>getTargetDataSet</code> 	-	<code>process</code> 	-	<code>setTags</code> 	-}


 Methods inherited from Object:asThis, $, $&lt;-, [[, [[&lt;-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, gc, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, registerFinalizer, save

AbstractCurveNormalization: The AbstractCurveNormalization class

Description

Usage

Arguments

Fields and Methods