PrincipalCurveNormalization

Arguments passed to <code><a href="/link/AbstractCurveNormalization?package=aroma.cn&version=1.5.0" rd-options="" data-mini-rdoc="aroma.cn::AbstractCurveNormalization">AbstractCurveNormalization</a></code>.

A <code><a href="/link/double?package=aroma.cn&version=1.5.0&to=base" rd-options="base" data-mini-rdoc="base::double">double</a></code> in (0,1] specifying the fraction of the
 <code>subsetToFit</code> to be used for fitting. Since the fit function
 for this class is rather slow, the default is to use a 1/20:th
 of the de

subset

Package: aroma.cn Class PrincipalCurveNormalization<code><a href="/link/Object?package=aroma.cn&version=1.5.0&to=R.oo" rd-options="R.oo" data-mini-rdoc="R.oo::Object">Object</a></code><code>~~|</code><code>~~+--</code><code><a href="/link/AbstractCurveNormalization?package=aroma.cn&version=1.5.0&to=aroma.cn" rd-options="aroma.cn" data-mini-rdoc="aroma.cn::AbstractCurveNormalization">AbstractCurveNormalization</a></code><code>~~~~~~~|</code><code>~~~~~~~+--</code><code>PrincipalCurveNormalization</code>Directly known subclasses:public static class PrincipalCurveNormalizationextends <a href="/link/AbstractCurveNormalization?package=aroma.cn&version=1.5.0&to=aroma.cn" rd-options="aroma.cn" data-mini-rdoc="aroma.cn::AbstractCurveNormalization">AbstractCurveNormalization</a>

classes

Methods for analyzing DNA copy-number data.  Specifically,
  this package implements the multi-source copy-number normalization (MSCN)
  method for normalizing copy-number data obtained on various platforms and
  technologies.  It also implements the TumorBoost method for normalizing
  paired tumor-normal SNP data.

Henrik Bengtsson

aroma.cn

Copy-number analysis of large microarray data sets

PrincipalCurveNormalization function

Methods:No methods defined.
 Methods inherited from AbstractCurveNormalization:as.character, backtransformOne, fitOne, getAsteriskTags, getDataSets, getFullName, getInputDataSet, getName, getOutputDataSet, getPairedDataSet, getPath, getRootPath, getSubsetToFit, getTags, getTargetDataSet, nbrOfFiles, process, setTags Methods inherited from Object:$, $&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, save, asThis

PrincipalCurveNormalization: The PrincipalCurveNormalization class

Description

Usage

Arguments

Fields and Methods