Learn R Programming
⚠️There's a newer version (1.7.1) of this package.Take me there.

aroma.cn (version 1.4.0)

Copy-number analysis of large microarray data sets

Description

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.

Copy Link

Version

Install

install.packages('aroma.cn')

Monthly Downloads

269

Version

1.4.0

License

LGPL (>= 2.1)

Maintainer

Henrik Bengtsson

Last Published

August 5th, 2013

Functions in aroma.cn (1.4.0)

callPeaks.PeaksAndValleys

Calls the peaks in peaks-and-valley estimates
cnr

Simple creation of a CopyNumberRegions object
extractTupleOfDataFiles.MultiSourceCopyNumberNormalization

Gets a list of data files for a particular name across several data sets
PairedPscbsModel

The PairedPscbsModel class
process.MultiSourceCopyNumberNormalization

Normalizes all samples
aroma.cn-package

Package aroma.cn
normalizeBAFsByRegions.PairedPSCBS

Normalizes allele B fractions (BAFs) based on region-based PSCN estimates
getSmoothedDataSets.MultiSourceCopyNumberNormalization

Gets the data sets smoothed toward the UGP file
AbstractCurveNormalization

The AbstractCurveNormalization class
TumorBoostNormalization

The TumorBoostNormalization class
Non-documented objects

Non-documented objects
normalizeMirroredBAFsByRegions.matrix

Normalizes region-level mirrored allele B fractions (mBAFs)
TotalCnBinnedSmoothing

The TotalCnBinnedSmoothing class
getSubsetToFit.MultiSourceCopyNumberNormalization

Gets subset of (smoothing) units for fitting the model
callAllelicBalanceByBAFs.PairedPSCBS

Calls regions that are in allelic balance
getAllNames.MultiSourceCopyNumberNormalization

Gets the names of all unique samples across all sources
fitOne.MultiSourceCopyNumberNormalization

Fits the multi-source model for one sample
findAtomicAberrations.CopyNumberRegions

Finds all possible atomic regions
TotalCnKernelSmoothing

The TotalCnKernelSmoothing class
normalizePrincipalCurve.matrix

Normalizes data in K dimensions using principal curves
PrincipalCurveNormalization

The PrincipalCurveNormalization class
getFitAromaUgpFile.MultiSourceCopyNumberNormalization

Gets the UGP file specifying the common set of loci to normalize at
callCopyNeutralRegions.PairedPSCBS

Calls regions that are copy neutral
getInputDataSets.MultiSourceCopyNumberNormalization

Gets the list of data sets to be normalized
XYCurveNormalization

The XYCurveNormalization class
deShearC1C2.PairedPSCBS

Correct for shearing in (C1,C2) space based on region-based PSCN estimates
callXXorXY.numeric

Calls XX or XY from ChrX allele B fractions of a normal sample
calibrateC1C2.PairedPSCBS

Calibrates ASCN signals in (C1,C2) space based on region-based PSCN estimates
testAllelicBalanceByBAFs

Tests for allelic balance in a genomic region
TotalCnSmoothing

The abstract TotalCnSmoothing class
MultiSourceCopyNumberNormalization

The MultiSourceCopyNumberNormalization class