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SubLasso (version 1.0)

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

Description

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.

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Version

Install

install.packages('SubLasso')

Monthly Downloads

20

Version

1.0

License

GPL

Maintainer

Last Published

March 26th, 2014

Functions in SubLasso (1.0)

SubLasso

Logistic model via Lasso penalty with a subset features
predict.sublasso

Predict method for SubLasso fits.
Golub_Merge

Gene expression data from Alon et al. (1999)
Colon

Gene expression data from Alon et al. (1999)
SubLasso-package

SubLasso package