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MiChip (version 1.26.0)

workedExampleMedianNormalize: Worked Example of MiChip Processing

Description

Loads a set of hybridizations into a matrix and them proceeds to filter, summarize and median normalize them

Usage

workedExampleMedianNormalize(exptname, intensityCutoff=0, datadir=".", minSumlength, madAdjust = FALSE)

Arguments

exptname
string indicating the name of the experiment
intensityCutoff
The intensity value for accepting the spots intensity value in the experiment
datadir
The directory where hybridization files are found.
minSumlength
Minimum exceptable number of values to summarize intensity value.
madAdjust
if TRUE then summarized data will be filtered according to the MAD median absolute deviation and set to NA if the median is less than MAD

Examples

Run this code
#Normalize data in the current directory to the median per chip
datadir <- system.file("extdata", package="MiChip")
myNormedEset <-workedExampleMedianNormalize("MyExpt", intensityCutoff=0, datadir, minSumlength=0, madAdjust=TRUE)

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