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NSA (version 0.0.32)

SNPsNormalization: The SNPsNormalization class

Description

Package: NSA Class SNPsNormalization

Object ~~| ~~+--SNPsNormalization

Directly known subclasses:

public static class SNPsNormalization extends Object

This class represents the SNPs normalization method [1], which corrects for SNP effects in allele-specific copy-number estimates (ASCNs).

Usage

SNPsNormalization(data=NULL, tags="*", ...)

Arguments

data
A named list with data set named "total" and "fracB" where the former should be of class AromaUnitTotalCnBinarySet and the latter of class AromaUnitFracBCnBinarySet. The two data sets must be for the same chip type, have the same number of samples and the same sample names.
tags
Tags added to the output data sets.
...
Not used.

Fields and Methods

Methods:
findUnitsTodo
-
getDataSets -
getFullName
-
getName -
getOutputDataSets
-
getPath -
getRootPath
-
getTags -
nbrOfFiles
-
process -
setTags
-
Methods inherited from Object: asThis, $, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clone, detach, equals, extend, finalize, gc, getEnvironment, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, registerFinalizer, save

Details

...

References

[1] ...

See Also

Low-level versions of the SNPs normalization method is available via snpsNByTotalAndFracB.matrix() methods.