dataTrim: DataTrim using pseudo winsorization algorithm
In diffGeneAnalysis: Performs differential gene expression Analysis
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
DataTrim cleans the data through a pseudo winsorization algorithm.
First, the mean and SD are calculated. Then, any values above 2SD
are trimmed.The mean is recalculated and any values less then 2 SD
are trimmed.This process of cutting 2 SD above the mean and then
2 SD below the mean is repeated until no further cuts are possible.
Usage
1
dataTrim(chipdata)
Arguments
chipdata
chipdata is a vector of chipdata from microarray
chips.
Value
Returns a vector of trimmed chipdata representing background
based on pseudo winsorization algorithm.
Author(s)
Choudary L Jagarlamudi
References
Dozmorov I,Centola,M. An associative analysis of gene expression array data.
Bioinformatics.2003 Jan22;19(2):204-11
Knowlton N,Dozmorov I, Centola M. Microarray data Analysis Tool box(MDAT):
for normalization,adjustment and analysis of gene expression data.
Bioonformatics.2004 Dec 12;20(18):3687-90
Examples
1
#see normalize for details
diffGeneAnalysis documentation built on Nov. 8, 2020, 8:03 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
DataTrim cleans the data through a pseudo winsorization algorithm. First, the mean and SD are calculated. Then, any values above 2SD are trimmed.The mean is recalculated and any values less then 2 SD are trimmed.This process of cutting 2 SD above the mean and then 2 SD below the mean is repeated until no further cuts are possible.
Usage
1 | dataTrim(chipdata)
|
Arguments
chipdata |
chipdata is a vector of chipdata from microarray chips. |
Value
Returns a vector of trimmed chipdata representing background based on pseudo winsorization algorithm.
Author(s)
Choudary L Jagarlamudi
References
Dozmorov I,Centola,M. An associative analysis of gene expression array data. Bioinformatics.2003 Jan22;19(2):204-11
Knowlton N,Dozmorov I, Centola M. Microarray data Analysis Tool box(MDAT): for normalization,adjustment and analysis of gene expression data. Bioonformatics.2004 Dec 12;20(18):3687-90
Examples
1 | #see normalize for details
|
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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