Probabilistic clustering of time-evolving distance data. - Julia E. Vogt; Marius Kloft; Stefan Stark; Sudhir Raman; Sandhya Prabhakaran; Volker Roth 001; Gunnar Rätsch (Mach. Learn., 2015)

Unsupervised Extraction of Phenotypes from Cancer Clinical Notes for Association Studies. - Stefan G. Stark; Stephanie L. Hyland; Melanie Fernandes Pradier; Kjong-Van Lehmann; Andreas Wicki; Fernando Pérez-Cruz; Julia E. Vogt; Gunnar Rätsch (CoRR, 2019)

SCIM: universal single-cell matching with unpaired feature sets. - Stefan G. Stark; Joanna Ficek; Francesco Locatello; Ximena Bonilla; Stéphane Chevrier; Franziska Singer; Tumor Profiler Consortium; Gunnar Rätsch; Kjong-Van Lehmann (Bioinform., 2020)

Genomic basis for RNA alterations in cancer. - Claudia Calabrese; Natalie R. Davidson; Deniz Demircioglu; Nuno A. Fonseca; Yao He; André Kahles; Kjong-Van Lehmann; Fenglin Liu; Yuichi Shiraishi; Cameron M. Soulette; Lara Urban; Liliana Greger; et al. (Nat., 2020)

SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing. - Hana Rozhonová; Daniel Danciu; Stefan Stark; Gunnar Rätsch; André Kahles; Kjong-Van Lehmann (Bioinform., 2022)

Probabilistic pathway-based multimodal factor analysis. - Alexander Immer; Stefan G. Stark; Francis Jacob; Ximena Bonilla; Tinu Thomas; André Kahles; Sandra Götze; Emanuela S. Milani; Bernd Wollscheid; Tumor Profiler Consortium; Gunnar Rätsch; Kjong-Van Lehmann (Bioinform., 2024)

Learning to align single-cell populations. - Stefan G. Stark (2024)