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A generalized elastic-net for semi-supervised learning of sparse features. Simulations

Overview

This repository contains the source code of the simulations and real data analyses showcased in the paper A generalized elastic-net for semi-supervised learning of sparse features.

The implementation in s2net is compared with other approaches for semi-supervised learning. The simulations are coded using p4R, an R package that helps building with parallel simulations with a template for RStudio. Specifically, these simulations were run on an LSF cluster.