svapls: Surrogate variable analysis using partial least squares in a gene expression study.

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Accurate identification of genes that are truly differentially expressed over two sample varieties, after adjusting for hidden subject-specific effects of residual heterogeneity.

Author
Sutirtha Chakraborty, Somnath Datta and Susmita Datta
Date of publication
2013-09-20 08:13:19
Maintainer
Sutirtha Chakraborty <statistuta@gmail.com>
License
GPL-3
Version
1.4

View on CRAN

Man pages

fitModel
Function to fit an ANCOVA model to the log transformed gene...
hfp
Function to construct a heatmap of the hidden variation in...
hidden_fac.dat
A gene expression data affected by a hidden variable.
svapls-package
Surrogate variable analysis using Partial Least Squares in a...
svpls
Function for identfying the optimal ANCOVA model and...

Files in this package

svapls
svapls/NAMESPACE
svapls/data
svapls/data/hidden_fac.dat.rda
svapls/R
svapls/R/svpls.R
svapls/R/fitModel.R
svapls/R/hfp.R
svapls/MD5
svapls/DESCRIPTION
svapls/man
svapls/man/svapls-package.Rd
svapls/man/fitModel.Rd
svapls/man/svpls.Rd
svapls/man/hidden_fac.dat.Rd
svapls/man/hfp.Rd