Quantitative comparison of microarray experiments with published leukemia related gene expression signatures. - Hans-Ulrich Klein; Christian Ruckert; Alexander Kohlmann; Lars Bullinger; Christian Thiede; Torsten Haferlach; Martin Dugas (BMC Bioinform., 2009)

GiANT: gene set uncertainty in enrichment analysis. - Florian Schmid; Matthias Schmid; Christoph Müssel; J. Eric Sträng; Christian Buske; Lars Bullinger; Johann M. Kraus; Hans A. Kestler (Bioinform., 2016)

Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information. - Stefanie Hieke; Axel Benner; Richard F. Schlenl; Martin Schumacher; Lars Bullinger; Harald Binder (BMC Bioinform., 2016)

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

Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease. - Pascal Schlosser; Jochen Knaus; Maximilian Schmutz; Konstanze Döhner; Christoph Plass; Lars Bullinger; Rainer Claus; Harald Binder; Michael Lübbert; Martin Schumacher (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Covering Hierarchical Dirichlet Mixture Models on binary data to enhance genomic stratifications in onco-hematology. - Daniele Dall'Olio; J. Eric Sträng; Amin T. Turki; Jesse M. Tettero; Martje Barbus; Renate Schulze-Rath; Javier Martinez Elicegui; Tommaso Matteuzzi; Alessandra Merlotti; Luciana Carota; Claudia Sala; Matteo G. Della Porta; et al. (PLoS Comput. Biol., 2024)