FragmentLengthNormalization: The FragmentLengthNormalization class

In aroma.affymetrix: Analysis of Large Affymetrix Microarray Data Sets

The FragmentLengthNormalization class

Description

Package: aroma.affymetrix
Class FragmentLengthNormalization

Object
~~|
~~+--ParametersInterface
~~~~~~~|
~~~~~~~+--AromaTransform
~~~~~~~~~~~~|
~~~~~~~~~~~~+--Transform
~~~~~~~~~~~~~~~~~|
~~~~~~~~~~~~~~~~~+--ChipEffectTransform
~~~~~~~~~~~~~~~~~~~~~~|
~~~~~~~~~~~~~~~~~~~~~~+--FragmentLengthNormalization

Directly known subclasses:

public static class FragmentLengthNormalization
extends ChipEffectTransform

This class represents a normalization method that corrects for PCR fragment length effects on copy-number chip-effect estimates.

Usage

FragmentLengthNormalization(dataSet=NULL, ..., target=targetFunctions, subsetToFit="-XY",
  lengthRange=NULL, onMissing=c("median", "ignore"), shift=0, targetFunctions=NULL)

Arguments

dataSet	A SnpChipEffectSet.
...	Additional arguments passed to the constructor of ChipEffectTransform.
target	(Optional) A character string or a list of functions specifying what to normalize toward. For each enzyme there is one target function to which all arrays should be normalized to.
subsetToFit	The units from which the normalization curve should be estimated. If NULL, all are considered.
lengthRange	If given, a numeric vector of length 2 specifying the range of fragment lengths considered. All fragments with lengths outside this range are treated as if they were missing.
onMissing	Specifies how to normalize units for which the fragment lengths are unknown.
shift	An optional amount the data points should be shifted (translated).
targetFunctions	Deprecated.

Details

For SNPs, the normalization function is estimated based on the total chip effects, i.e. the sum of the allele signals. The normalizing is done by rescale the chip effects on the intensity scale such that the mean of the total chip effects are the same across samples for any given fragment length. For allele-specific estimates, both alleles are always rescaled by the same amount. Thus, when normalizing allele-specific chip effects, the total chip effects is change, but not the relative allele signal, e.g. the allele B frequency.

Fields and Methods

Methods:

	getCdf	-
	process	-

Methods inherited from ChipEffectTransform:
getRootPath

Methods inherited from Transform:
getOutputDataSet, getOutputFiles

Methods inherited from AromaTransform:
as.character, findFilesTodo, getAsteriskTags, getExpectedOutputFiles, getExpectedOutputFullnames, getFullName, getInputDataSet, getName, getOutputDataSet, getOutputDataSet0, getOutputFiles, getPath, getRootPath, getTags, isDone, process, setTags

Methods inherited from ParametersInterface:
getParameterSets, getParameters, getParametersAsString

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

Requirements

This class requires a SNP information annotation file for the chip type to be normalized.

Author(s)

Henrik Bengtsson

aroma.affymetrix documentation built on May 29, 2024, 4:32 a.m.