METAtarget - Extracting Key Enzymes of Metabolic Regulation from Highthroughput Metabolomics Data using KEGG REACTION Information. - Jan Budczies; Carsten Denkert; Berit M. Müller; Scarlet F. Brockmöller; Manfred Dietel; Jules L. Griffin; Matej Oresic; Oliver Fiehn (GCB, 2010)

New network topology approaches reveal differential correlation patterns in breast cancer. - Michael Bockmayr; Frederick Klauschen; Balazs Györffy; Carsten Denkert; Jan Budczies (BMC Syst. Biol., 2013)

Semiconductor sequencing: how many flows do you need? - Jan Budczies; Michael Bockmayr; Denise Treue; Frederick Klauschen; Carsten Denkert (Bioinform., 2015)

Ioncopy: an R Shiny app to call copy number alterations in targeted NGS data. - Jan Budczies; Nicole Pfarr; Eva Romanovsky; Volker Endris; Albrecht Stenzinger; Carsten Denkert (BMC Bioinform., 2018)

Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. - Alexander Binder; Michael Bockmayr; Miriam Hägele; Stephan Wienert; Daniel Heim; Katharina Hellweg; Albrecht Stenzinger; Laura Parlow; Jan Budczies; Benjamin Goeppert; Denise Treue; Manato Kotani; et al. (CoRR, 2018)

Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. - Caner Mercan; Maschenka Balkenhol; Roberto Salgado; Mark Sherman 003; Philippe Vielh; Willem Vreuls; António Polónia; Hugo M. Horlings; Wilko Weichert; Jodi M. Carter; Peter Bult; Matthias Christgen; et al. (CoRR, 2020)

Morphological and molecular breast cancer profiling through explainable machine learning. - Alexander Binder; Michael Bockmayr; Miriam Hägele; Stephan Wienert; Daniel Heim; Katharina Hellweg; Masaru Ishii; Albrecht Stenzinger; Andreas Hocke; Carsten Denkert; Klaus-Robert Müller; Frederick Klauschen (Nat. Mach. Intell., 2021)