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aCGH (version 1.50.0)

Classes and functions for Array Comparative Genomic Hybridization data.

Description

Functions for reading aCGH data from image analysis output files and clone information files, creation of aCGH S3 objects for storing these data. Basic methods for accessing/replacing, subsetting, printing and plotting aCGH objects.

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Version

Version

1.50.0

License

GPL-2

Maintainer

Last Published

February 15th, 2017

Functions in aCGH (1.50.0)

aCGH.test

Testing association of aCGH clones with censored or continuous outcomes
clusterGenome

clustering and heatmap
impute.lowess

Imputing log2 ratios
mergeFunc

Funtion to merge states based on their state means
findAmplif.func

Function to determine high level amplifications
findOutliers.func

Function to identify outlier clones
plotSummaryProfile

plotSummaryProfile
states.hmm.func

A function to fit unsupervised Hidden Markov model
fga.func

Function to compute fraction of genome altered for each sample
find.genomic.events

Finds the genomic events associated with each of the array CGH samples
human.chrom.info.May04

Basic Chromosomal Information for UCSC Human Genome Assembly May 2004 freeze
impute.HMM

Imputing log2 ratios using HMM
aCGH.process

Process data in aCGH object
aCGH.read.Sprocs

Create object of class "aCGH" from Sproc files
mergeLevels

mergeLevels
plotFreqStat

frequency plots and significance analysis
colorectal

Colorectal array CGH dataset
computeSD.func

Function to estimate experimental variability of a sample
findTrans.func

Funtion identifying the transitions
gainLoss

Function to compute proportion of gains and losses for each clones
plotHmmStates

Plotting the estimated hmm states and log2 ratios for each sample.
plotGenome

Plots the genome
find.hmm.states

Determines states of the clones
findAber.func

Function to determines focal aberrations
heatmap

Creates heatmap array CGH objects
human.chrom.info.Jul03

Basic Chromosomal Information for UCSC Human Genome Assembly July 2003 freeze
summarize.clones

Extracting summary information for all clones
threshold.func

Function to indicate gain or loss for each clone for each sample