Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective. - Alicia Poplawski; Federico Marini 002; Moritz Hess; Tanja Zeller; Johanna Mazur; Harald Binder (Briefings Bioinform., 2016)

Partitioned learning of deep Boltzmann machines for SNP data. - Moritz Hess; Stefan Lenz; Tamara J. Blätte; Lars Bullinger; Harald Binder (Bioinform., 2017)

Exploring generative deep learning for omics data using log-linear models. - Moritz Hess; Maren Hackenberg; Harald Binder (Bioinform., 2020)

Synthetic observations from deep generative models and binary omics data with limited sample size. - Jens Nußberger; Frederic Boesel; Stefan Lenz; Harald Binder; Moritz Hess (Briefings Bioinform., 2021)

Stratified neural networks in a time-to-event setting. - Fabrizio Kuruc; Harald Binder; Moritz Hess (Briefings Bioinform., 2022)