https://www.selleckchem.com/pr....oducts/rocaglamide.h
Through simulations, we show that the proposed regression with individualized penalties can outperform the standard LASSO in terms of both parameters estimation and prediction performance when the external data is informative. We further demonstrate our approach with applications to gene expression studies of bone density and breast cancer. The methods have been implemented in the R package xtune freely available for download from https//cran.r-project.org/web/packages/xtune/index.html. Supplementary data are available at Bioinforma
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