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Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size

Soufiane Ajana, Niyazi Acar, Lionel Bretillon, Boris P. Hejblum, Hélène Jacqmin-Gadda, Cécile Delcourt. Benefits of dimension reduction in penalized regression methods for high-dimensional grouped data: a case study in low sample size. Bioinformatics, 35(19):3628-3634, 2019. [doi]

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