vipR: variant identification in pooled DNA using R. - André Altmann; Peter Weber; Carina Quast; Monika Rex-Haffner; Elisabeth B. Binder; Bertram Müller-Myhsok (Bioinform., 2011)

Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs. - Tony Kam-Thong; Benno Pütz; Nazanin Karbalai; Bertram Müller-Myhsok; Karsten M. Borgwardt (Bioinform., 2011)

Efficient branch-and-bound techniques for two-locus association mapping. - Karin Klotzbücher; Yasushi Kobayashi; Nino Shervashidze; Oliver Stegle; Bertram Müller-Myhsok; Detlef Weigel; Karsten M. Borgwardt (BMC Bioinform., 2011)

Phenome-wide Association Studies on Cardiovascular Health and Fatty Acids Considering PhenotypeQuality Control Practices for Epidemiological Data. - Kristin Passero; Xi He; Jiayan Zhou; Bertram Müller-Myhsok; Marcus E. Kleber; Winfried März; Molly A. Hall (PSB, 2020)

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning. - Janine Arloth; Gökcen Eraslan; Till F. M. Andlauer; Jade Martins; Stella Iurato; Brigitte Kühnel; Melanie Waldenberger; Josef Frank; Ralf Gold; Bernhard Hemmer; Felix Luessi; Sandra Nischwitz; et al. (PLoS Comput. Biol., 2020)

Genetic, Individual, and Familial Risk Correlates of Brain Network Controllability in Major Depressive Disorder. - Tim Hahn; Nils R. Winter; Jan Ernsting; Marius Gruber; Marco J. Mauritz; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Julian Blanke; Vincent Holstein; Daniel Emden; Marie Beisemann; et al. (CoRR, 2021)

A Network Control Theory Approach to Longitudinal Symptom Dynamics in Major Depressive Disorder. - Tim Hahn; Hamidreza Jamalabadi; Daniel Emden; Janik Goltermann; Jan Ernsting; Nils R. Winter; Lukas Fisch; Ramona Leenings; Kelvin Sarink; Vincent Holstein; Marius Gruber; Dominik Grotegerd; et al. (CoRR, 2021)

Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning. - Nicolas Rost; Tanja M. Brückl; Nikolaos Koutsouleris; Elisabeth B. Binder; Bertram Müller-Myhsok (BMC Medical Informatics Decis. Mak., 2022)

DeepOF: a Python package for supervised and unsupervised pattern recognition in mice motion tracking data. - Lucas Miranda 002; Joeri Bordes; Benno Pütz; Mathias V. Schmidt; Bertram Müller-Myhsok (J. Open Source Softw., 2023)