Robust and efficient feature selection algorithm to identify important features for predicting survival risk. The method is based on subsampling and averaging linear models obtained from the (preconditioned) Lasso algorithm, with an extra shrinking procedure to reduce the size of signatures. An evaluation procedure using subsampling is also provided.
|Author||Sangkyun Lee <[email protected]>, Michel Lang <[email protected]>|
|Maintainer||Sangkyun Lee <[email protected]>|
|Package repository||View on CRAN|
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