| 2024 | RECOMB | Overcoming Observation Bias for Cancer Progression Modeling. | Rudolf Schill, Maren Klever, Andreas Lsch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel |
| 2018 | RECOMB | Loss-Function Learning for Digital Tissue Deconvolution. | Franziska Grtler, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, Michael Altenbuchinger |
| 2013 | RECOMB | Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks. | Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang |
| 2007 | ISMB | Nested effects models for high-dimensional phenotyping screens. | Florian Markowetz, Dennis Kostka, Olga G. Troyanskaya, Rainer Spang |
| 2006 | RECOMB | Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data. | Stefanie Scheid, Rainer Spang |
| 2005 | AISTATS | Probabilistic Soft Interventions in Conditional Gaussian Networks. | Florian Markowetz, Steffen Grossmann, Rainer Spang |
| 2004 | ISMB | Finding disease specific alterations in the co-expression of genes. | Dennis Kostka, Rainer Spang |
| 2000 | ISMB | Sequence Database Search Using Jumping Alignments. | Rainer Spang, Marc Rehmsmeier, Jens Stoye |