HIGHLIGHTS
- who: Florian Frommlet and collaborators from the Department of Medical Statistics, CEMSIIS, Medical University of Vienna, Vienna, Austria, Institute of have published the research: Selecting predictive biomarkers from genomic data, in the Journal: PLOS ONE of 29/04/2021
- what: The authors compare different high-dimensional selection approaches including adaptive lasso a Bayesian adaptive version of the Sorted L-One Penalized Estimator (SLOBE) and a modified version of the Bayesian Information Criterion (mBIC2). To assess the performance of the five different methods the authors compare the power to detect treatment efficacy either in the whole . . .
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