Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations. - Dan Guo; Melanie Christine Föll; Veronika Volkmann; Kathrin Enderle-Ammour; Peter Bronsert; Oliver Schilling; Olga Vitek (Bioinform., 2020)

Fostering accessible online education using Galaxy as an e-learning platform. - Beatriz Serrano-Solano; Melanie Christine Föll; Cristóbal Gallardo-Alba; Anika Erxleben; Helena Rasche; Saskia D. Hiltemann; Matthias Fahrner; Mark J. Dunning; Marcel H. Schulz; Beáta Scholtz; Dave Clements; Anton Nekrutenko; et al. (PLoS Comput. Biol., 2021)

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update. - Enis Afgan; Anton Nekrutenko; Björn A. Grüning; Daniel J. Blankenberg; Jeremy Goecks; Michael C. Schatz; Alexander E. Ostrovsky; Alexandru Mahmoud; Andrew J. Lonie; Anna Syme; Anne Fouilloux; Anthony Bretaudeau; et al. (Nucleic Acids Res., 2022)

Galaxy Training: A powerful framework for teaching! - Saskia D. Hiltemann; Helena Rasche; Simon L. Gladman; Hans-Rudolf Hotz; Delphine Larivière; Daniel J. Blankenberg; Pratik D. Jagtap; Thomas Wollmann; Anthony Bretaudeau; Nadia Goué; Timothy J. Griffin; Coline Royaux; et al. (PLoS Comput. Biol., 2023)

A noise-robust deep clustering of biomolecular ions improves interpretability of mass spectrometric images. - Dan Guo; Melanie Christine Föll; Kylie A. Bemis; Olga Vitek (Bioinform., 2023)