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Sparse regression and marginal testing using cluster prototypes, and . Biostatistics, (Nov 27, 2015)The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition., , and . Springer Series in Statistics Springer, (2009)Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 58 (1): 267--288 (1996)Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer., and . SIGKDD Explor., 5 (2): 48-55 (2003)The elements of statistical learning: data mining, inference and prediction, , and . Springer, 2 edition, (2009)An Introduction to Statistical Learning with Applications in Python, , , , and . Springer Texts in Statistics Springer, Cham, (2023)Margin Trees for High-dimensional Classification., and . J. Mach. Learn. Res., (2007)Feature-weighted elastic net: using "features of features" for better prediction, , , and . Statistica Sinica, 33 (1): 259--279 (January 2023)A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis, , and . Biostatistics, 10 (3): 515-534 (2009)Estimating the Number of Clusters in a Data Set via the Gap Statistic, , and . Journal of the Royal Statistical Society Series B, (2001)