pre.process: Data Preprocessing
In AffyExpress: Affymetrix Quality Assessment and Analysis Tool
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function converts an 'AffyBatch' into an 'ExpressionSet' using either
RMA or GCRMA methods
Usage
1
pre.process(method, raw, plot=FALSE, output=FALSE)
Arguments
method
either "rma" or "gcrma"
raw
an 'AffyBatch'
plot
if plot = TRUE, it will plot gene expression for each chip
output
if output = TRUE, it will output 'ExpressionSet' to the
current directory
Value
an 'ExpressionSet'
Author(s)
Xiwei Wu xwu@coh.org, Xuejun Arthur Li xueli@coh.org
Examples
1
2
data(testData)
normaldata<-pre.process("rma",testData)
AffyExpress documentation built on Nov. 8, 2020, 7:50 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function converts an 'AffyBatch' into an 'ExpressionSet' using either RMA or GCRMA methods
Usage
1 | pre.process(method, raw, plot=FALSE, output=FALSE)
|
Arguments
method |
either "rma" or "gcrma" |
raw |
an 'AffyBatch' |
plot |
if plot = TRUE, it will plot gene expression for each chip |
output |
if output = TRUE, it will output 'ExpressionSet' to the current directory |
Value
an 'ExpressionSet'
Author(s)
Xiwei Wu xwu@coh.org, Xuejun Arthur Li xueli@coh.org
Examples
1 2 | data(testData)
normaldata<-pre.process("rma",testData)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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