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\name{NEWS}
\title{News for Package 'crlmm'}
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\section{Changes in version 1.10}{
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\subsection{USER VISIBLE CHANGES}{
\itemize{
\item Using NEWS.Rd
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\item batch slot in CNSet objects is class 'character'
(previously, class was 'factor')
\item the ff package is required for preprocessing and genotyping
prior to copy number analyses with the crlmmCopynumber function.
\item We have added several vignettes pertaining to copy number
analyses in the crlmm package: CopyNumberOverview,
AffymetrixPreprocessCN, IlluminaPreprocessCN, and Infrastructure.
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The AffymetrixPreprocessCN and IlluminaPreprocessCN vignettes
provide instructions for preprocessing and genotyping the raw
intensities for Affymetrix and Illumina platforms, respectively.
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The 'copynumber' and 'Infrastructure' vignettes are applicable to
both the Illumina and Affymetrix platforms. The CopyNumberOverview
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vignette provides a brief summary of the available vignettes for
copy number analysis.
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\item For those interested in copy number analysis of Illumina
platforms, we added functions that break-down the preprocessing
and genotyping steps: constructInf, preprocessInf, and
genotypeInf. The genotype.Illumina function is now a wrapper for
these functions.
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\item additional documentation for crlmm is provided in a
compendium: http://www.biostat.jhsph.edu/~rscharpf/crlmmCompendium/index.html
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}
}
}
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\section{Changes in version 1.8}{
\subsection{USER VISIBLE CHANGES}{
\itemize{
\item define CNSet class with batch and batchStatistics slots
\item deprecate CNSetList class
\item deprecate crlmmWrapper, genotype2, and crlmmCopynumber2.
Use crlmmCopynumber in place of crlmmWrapper and crlmmCopynumber2.
Use genotype instead of genotype2.
\item raw copy number estimates no longer stored in container. CA
and CB methods are no longer simple accessors to data stored in
the eset-extension. These functions compute raw copy number
estimates from the linear model parameters.
}
}
}
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\section{Changes in version 1.3}{
\subsection{USER VISIBLE CHANGES}{
\itemize{
\item 3 new classes created:
\itemize{
\item 'ABset': container for quantile-normalized A and B
intensities for both SNP and copy number probes. Required
assay data elements are 'A' and 'B'. Extends eSet
directly.
\enumerate{
\item For nonpolymorphic probes, the quantile normalized
intensity is stored in the 'A' assay data element.
The corresponding row in the 'B' assay data element
is NA. This is a bit inefficient, but greatly
simplifies downstream analyses. In particular, '['
works.
}
\item 'CrlmmSetList': container for results from preprocessing
and genotyping. This object is a list. The first
element of the list is an ABset. The second element is a
SnpSet containing genotype calls. The two elements are
required to have identical featureNames and sampleNames.
\enumerate{
\item added several methods for subsetting and accessing
elements of this object, including featureNames,
sampleNames, and '['.
}
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\item 'CopyNumberSet': contains locus-level estimates of copy
number for SNPs and polymorphic probes.
\enumerate{
\item Required assay data elements are 'CA' and 'CB',
corresponding to the absolute copy number for allele
A and B, respectively.
\item For nonpolymorphic probes, the total copy number is
stored in the 'CA' slot and a NA is recorded for the
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corresponding row in the CB matrix.
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\item Useful methods: 'copyNumber', 'ellipse', 'points'
}
}
\item 'crlmmWrapper' function does preprocessing
(quantile-normalization) and genotyping, saving an object of
class CrlmmSetList for each chromosome
\item 'computeCopynumber' now requires an object of class
'CrlmmSetList' and returns an object of class 'CopyNumberSet'.
}
}
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}
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