am.trans: A function performing MA transformation of data with...
In JungsooGIM/LPEseq: LPEseq: local-pooled-error test for RNA-seq data with a small number of replicates
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
A function performing MA transformation of data with replicates (for internal use).
Usage
1
am.trans(y)
Arguments
y
expression data with replicates per each condition
Details
For duplicate arrays (x1, x2), M=x1/x2 versus A=x1*x2 can facilitate the
investigation of between-duplicate variability in terms of overall intensity.
Value
matrix
MA matrix
Author(s)
Jungsoo Gim
References
J. Gim and T. Park, PLoS ONE under revision (http://bibs.snu.ac.kr/software/LPEseq)
Examples
1
2
3
4
5
6
7
8
9
## Generating a replicated simulation dataset
simData <- generateData(n.deg=1000)
## Normalization
normData <- generateData(simData[,-7])
## MA transformation
MAdata4X <- am.trans(normData[,1:3])
MAdata4Y <- am.trans(normData[,4:6])
JungsooGIM/LPEseq documentation built on May 16, 2019, 10:04 a.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
A function performing MA transformation of data with replicates (for internal use).
Usage
1 | am.trans(y)
|
Arguments
y |
expression data with replicates per each condition |
Details
For duplicate arrays (x1, x2), M=x1/x2 versus A=x1*x2 can facilitate the investigation of between-duplicate variability in terms of overall intensity.
Value
matrix |
MA matrix |
Author(s)
Jungsoo Gim
References
J. Gim and T. Park, PLoS ONE under revision (http://bibs.snu.ac.kr/software/LPEseq)
Examples
1 2 3 4 5 6 7 8 9 | ## Generating a replicated simulation dataset
simData <- generateData(n.deg=1000)
## Normalization
normData <- generateData(simData[,-7])
## MA transformation
MAdata4X <- am.trans(normData[,1:3])
MAdata4Y <- am.trans(normData[,4:6])
|
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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