Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 10 of 31 found.
[1] < 1 2 3 4 > [4]  Sort:

genotypes (Package: crlmm) :

The possible genotypes for an integer copy number (0-4).
● Data Source: BioConductor
● Keywords: manip
● Alias: genotypes
● 0 images

posteriorProbability (Package: crlmm) : Calculate the posterior probability for integer copy numbers.

Calculate the posterior probability for integer copy numbers using the bivariate normal prediction regions.
● Data Source: BioConductor
● Keywords: array
● Alias: posteriorProbability, posteriorProbability,CNSet-method
● 0 images

predictionRegion (Package: crlmm) : Prediction regions for integer copy number

Bivariate normal prediction regions for integer copy number. Copy numbers 0-4 allowed.
● Data Source: BioConductor
● Keywords: distribution, list
● Alias: predictionRegion, predictionRegion,CNSet,integer-method
● 0 images

preprocessInf (Package: crlmm) :

This function normalizes the intensities for the 'A' and 'B' alleles for a CNSet object and estimates mixture parameters used for subsequent genotyping. See details for how the normalized intensities are written to file. This step is required for subsequent genotyping and copy number estimation.
● Data Source: BioConductor
● Keywords: manip
● Alias: preprocessInf
● 0 images

readGenCallOutput (Package: crlmm) : Read X and Y intensities from GenCall output

This function reads the raw X and Y intensities output by GenomeStudio's GenCall genotyping module in preparation for genotyping with crlmm.
● Data Source: BioConductor
● Keywords: IO
● Alias: readGenCallOutput
● 0 images

readIdatFiles (Package: crlmm) : Reads Idat Files from Infinium II Illumina BeadChips

Reads intensity information for each bead type from .idat files of Infinium II genotyping BeadChips
● Data Source: BioConductor
● Keywords: IO
● Alias: readIdatFiles, readIdatFiles2
● 0 images

snprma (Package: crlmm) :

SNPRMA will preprocess SNP chips. The preprocessing consists of quantile normalization to a known target distribution and summarization to the SNP-Allele level.
● Data Source: BioConductor
● Keywords: classif, manip
● Alias: snprma, snprma2
● 0 images

snprmaAffy (Package: crlmm) : Quantile normalize intensities for SNPs

Quantile normalize intensities for SNPs to a HapMap target reference distribution
● Data Source: BioConductor
● Keywords: robust
● Alias: snprmaAffy
● 0 images

validCdfNames (Package: crlmm) : Supported annotation packages for crlmm genotyping

Supported annotation packages for crlmm genotyping
● Data Source: BioConductor
● Keywords: manip
● Alias: validCdfNames
● 0 images

xyplot (Package: crlmm) : Plot prediction regions and normalized intensities.

Plot prediction regions for integer copy number and normalized intensities.
● Data Source: BioConductor
● Keywords: dplot, hplot
● Alias: xyplot, xyplot,formula,CNSet-method
1 images