PrincipalCurveNormalization: The PrincipalCurveNormalization class

In HenrikBengtsson/aroma.cn: Copy-Number Analysis of Large Microarray Data Sets

The PrincipalCurveNormalization class

Description

Package: aroma.cn
Class PrincipalCurveNormalization

Object
~~|
~~+--AbstractCurveNormalization
~~~~~~~|
~~~~~~~+--PrincipalCurveNormalization

Directly known subclasses:

public static class PrincipalCurveNormalization
extends AbstractCurveNormalization

Usage

PrincipalCurveNormalization(..., subset=1/20)

Arguments

...	Arguments passed to AbstractCurveNormalization.
subset	A double in (0,1] specifying the fraction of the subsetToFit 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 default data points.

Fields and Methods

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:
$, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, names, objectSize, print, save, asThis

Author(s)

Henrik Bengtsson

HenrikBengtsson/aroma.cn documentation built on Feb. 20, 2024, 9:15 p.m.