Two-sample Testing Using Deep Learning

1 code implementation • 14 Oct 2019 • Matthias Kirchler, Shahryar Khorasani, Marius Kloft, Christoph Lippert

We propose a two-sample testing procedure based on learned deep neural network representations.

Transfer Learning Two-sample testing +1

Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease

no code implementations • 2 Dec 2018 • Stefan Konigorski, Shahryar Khorasani, Christoph Lippert

The results indicate that CNNs provide a fast, scalable and precise tool to derive quantitative AD traits and that new kernels integrating domain knowledge can yield higher power in association tests of very rare variants.