SubLasso: Gene selection using Lasso for Microarray data with user-defined genes fixed in model.

Share:

The package implements a convenient procedure for microarray study, which is to do gene selection and classification simultaneously for binary outcomes. Users needn't to tune the parameters and can fix any genes that they desire to keep in the model. The K-folds cross validation results are returned.

Author
Fengfeng Zhou, Youxi Luo, Qinghan Meng, Ruiquan Ge, Guoqin Mai, Jikui Liu
Date of publication
2014-03-26 17:34:58
Maintainer
Qinghan Meng <qinghan.meng@gmail.com>
License
GPL
Version
1.0

View on CRAN

Man pages

Colon
Gene expression data from Alon et al. (1999)
Golub_Merge
Gene expression data from Alon et al. (1999)
predict.sublasso
Predict method for SubLasso fits.
SubLasso
Logistic model via Lasso penalty with a subset features
SubLasso-package
SubLasso package

Files in this package

SubLasso
SubLasso/NAMESPACE
SubLasso/data
SubLasso/data/Golub_Merge.rda
SubLasso/data/datalist
SubLasso/data/Colon.rda
SubLasso/R
SubLasso/R/SubLasso.R
SubLasso/R/predict.sublasso.R
SubLasso/MD5
SubLasso/DESCRIPTION
SubLasso/man
SubLasso/man/Golub_Merge.Rd
SubLasso/man/Colon.Rd
SubLasso/man/SubLasso-package.Rd
SubLasso/man/predict.sublasso.Rd
SubLasso/man/SubLasso.Rd