probeset2pathway: Generae a mean gene expression of genes of each pathway...
In netClass: netClass: An R Package for Network-Based Biomarker Discovery
Description
Usage
Arguments
Value
Author(s)
References
See Also
View source: R/averageExpressionPathwaySVM.R
Description
Generae a mean gene expression of genes of each pathway matrix
Usage
1
probeset2pathway(x = x, int = int, sigGens = sigGens)
Arguments
x
gene expression data
int
common genes between pathway genes and genes in gene expression profile
sigGens
significant gene expression using SAM methods
Value
kse
an matrix with n pathways and p samples
Author(s)
Yupeng Cun yupeng.cun@gmail.com
References
Guo et al., Towards precise classification of cancers based on robust gene functional expression profiles. BMC Bioinformatics 2005, 6:58.
See Also
See Also as classify.aep
netClass documentation built on May 29, 2017, 7:18 p.m.
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Description Usage Arguments Value Author(s) References See Also
View source: R/averageExpressionPathwaySVM.R
Description
Generae a mean gene expression of genes of each pathway matrix
Usage
1 | probeset2pathway(x = x, int = int, sigGens = sigGens)
|
Arguments
x |
gene expression data |
int |
common genes between pathway genes and genes in gene expression profile |
sigGens |
significant gene expression using SAM methods |
Value
kse |
an matrix with n pathways and p samples |
Author(s)
Yupeng Cun yupeng.cun@gmail.com
References
Guo et al., Towards precise classification of cancers based on robust gene functional expression profiles. BMC Bioinformatics 2005, 6:58.
See Also
See Also as classify.aep
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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