Real-world benchmarking of statistical software for feature selection in longitudinal biomedical data

Introduction: Recent advances in biochemical technology enable increasing availability of high-dimensional omics data for multiple time points in prospective cohort studies. Supervised feature selection is often required in these settings to overcome dimensionality problems and to achieve biomedical [for full text, please go to the a.m. URL]