Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome

1 code implementation • 1 Aug 2020 • Alessandra Cabassi, Denis Seyres, Mattia Frontini, Paul D. W. Kirk

Building classification models that predict a binary class label on the basis of high dimensional multi-omics datasets poses several challenges, due to the typically widely differing characteristics of the data layers in terms of number of predictors, type of data, and levels of noise.

regression Variable Selection