Rainer Spang

60 papers A 2B 4Journal 47Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images.
CoRR
Rao Muhammad Umer, Daniel Sens, Jonathan Noll, Christian Matek, Lukas Wolfseher, Rainer Spang, Ralf Huss, Johannes Raffler, Sarah Reinke, Wolfram Klapper, Katja Steiger, Kristina Schwamborn, Carsten Marr
2025 J jnl
AI in Precision Medicine.
Künstliche Intell.
Rainer Spang, Bernd Ludwig
2025 J jnl
Harp: data harmonization for computational tissue deconvolution across diverse transcriptomics platforms.
Bioinform.
Zahra Nozari, Paul Hüttl, Jakob Simeth, Marian Schön, James A. Hutchinson, Rainer Spang
2025 J jnl
Reconstructing Disease Histories in Huge Discrete State Spaces.
Künstliche Intell.
Rudolf Schill, Maren Klever, Kevin Rupp, Y. Linda Hu, Andreas Lösch, Peter Georg, Simon Pfahler, Stefan Vocht, Stefan Hansch, Tilo Wettig, Lars Grasedyck, Rainer Spang
2024 J jnl
Correcting for Observation Bias in Cancer Progression Modeling.
J. Comput. Biol.
Rudolf Schill, Maren Klever, Andreas Lösch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel
2024 J jnl
Differentiated uniformization: a new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models.
Comput. Stat.
Kevin Rupp, Rudolf Schill, Jonas Süskind, Peter Georg, Maren Klever, Andreas Lösch, Lars Grasedyck, Tilo Wettig, Rainer Spang
2024 J jnl
Modeling metastatic progression from cross-sectional cancer genomics data.
Bioinform.
Kevin Rupp, Andreas Lösch, Y. Linda Hu, Chenxi Nie, Rudolf Schill, Maren Klever, Simon Pfahler, Lars Grasedyck, Tilo Wettig, Niko Beerenwinkel, Rainer Spang
2024 B conf
Overcoming Observation Bias for Cancer Progression Modeling.
RECOMB
Rudolf Schill, Maren Klever, Andreas Lösch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel
2024 J jnl
Taming numerical imprecision by adapting the KL divergence to negative probabilities.
Stat. Comput.
Simon Pfahler, Peter Georg, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, Tilo Wettig
2024 J jnl
Virtual tissue expression analysis.
Bioinform.
Jakob Simeth, Paul Hüttl, Marian Schön, Zahra Nozari, Michael Huttner, Tobias Schmidt, Michael Altenbuchinger, Rainer Spang
2024 J jnl
dabih - encrypted data storage and sharing platform.
CoRR
Michael Huttner, Jakob Simeth, Renato Liguori, Fulvia Ferrazzi, Rainer Spang
2023 J jnl
Anomaly detection in mixed high-dimensional molecular data.
Bioinform.
Lena Buck, Tobias Schmidt, Maren Feist, Philipp Schwarzfischer, Dieter Kube, Peter J. Oefner, Helena U. Zacharias, Michael Altenbuchinger, Katja Dettmer, Wolfram Gronwald, Rainer Spang
2022 J jnl
BITES: Balanced Individual Treatment Effect for Survival data.
CoRR
Stefan Schrod, Andreas Schäfer, Stefan Solbrig, Robert Lohmayer, Wolfram Gronwald, Peter J. Oefner, Tim Beißbarth, Rainer Spang, Helena U. Zacharias, Michael Altenbuchinger
2022 J jnl
BITES: balanced individual treatment effect for survival data.
Bioinform.
Stefan Schrod, Andreas Schäfer, Stefan Solbrig, Robert Lohmayer, Wolfram Gronwald, Peter J. Oefner, Tim Beißbarth, Rainer Spang, Helena U. Zacharias, Michael Altenbuchinger
2021 J jnl
Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models.
CoRR
Kevin Rupp, Rudolf Schill, Jonas Süskind, Peter Georg, Maren Klever, Andreas Lösch, Lars Grasedyck, Tilo Wettig, Rainer Spang
2020 J jnl
DTD: An R Package for Digital Tissue Deconvolution.
J. Comput. Biol.
Marian Schön, Jakob Simeth, Paul Heinrich, Franziska Görtler, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Michael Altenbuchinger, Rainer Spang
2020 J jnl
Loss-Function Learning for Digital Tissue Deconvolution.
J. Comput. Biol.
Franziska Görtler, Marian Schön, Jakob Simeth, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, Michael Altenbuchinger
2020 J jnl
Low-rank tensor methods for Markov chains with applications to tumor progression models.
CoRR
Peter Georg, Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig
2020 J jnl
Modelling cancer progression using Mutual Hazard Networks.
Bioinform.
Rudolf Schill, Stefan Solbrig, Tilo Wettig, Rainer Spang
2018 B conf
Loss-Function Learning for Digital Tissue Deconvolution.
RECOMB
Franziska Görtler, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, Michael Altenbuchinger
2017 J jnl
Molecular signatures that can be transferred across different omics platforms.
Bioinform.
Michael Altenbuchinger, Philipp Schwarzfischer, Thorsten Rehberg, Jörg Reinders, Christian W. Kohler, Wolfram Gronwald, Julia Richter, Monika Szczepanowski, Neus Masqué-Soler, Wolfram Klapper, Peter J. Oefner, Rainer Spang
2017 J jnl
Molecular signatures that can be transferred across different omics platforms.
Bioinform.
Michael Altenbuchinger, Philipp Schwarzfischer, Thorsten Rehberg, Jörg Reinders, Christian W. Kohler, Wolfram Gronwald, Julia Richter, Monika Szczepanowski, Neus Masqué-Soler, Wolfram Klapper, Peter J. Oefner, Rainer Spang
2017 J jnl
Reference point insensitive molecular data analysis.
Bioinform.
Michael Altenbuchinger, Thorsten Rehberg, Helena U. Zacharias, Frank Stämmler, K. Dettmer, D. Weber, Andreas Hiergeist, A. Gessner, E. Holler, Peter J. Oefner, Rainer Spang
2016 J jnl
Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.
Bioinform.
Martin Pirkl, Elisabeth Hand, Dieter Kube, Rainer Spang
2015 J jnl
A statistical approach to virtual cellular experiments: improved causal discovery using accumulation IDA (aIDA).
Bioinform.
Franziska Taruttis, Rainer Spang, Julia C. Engelmann
2015 J jnl
Causal Modeling of Cancer-Stromal Communication Identifies PAPPA as a Novel Stroma-Secreted Factor Activating NFκB Signaling in Hepatocellular Carcinoma.
PLoS Comput. Biol.
Julia C. Engelmann, Thomas Amann, Birgitta Ott-Rötzer, Margit Nützel, Yvonne Reinders, Jörg Reinders, Wolfgang E. Thasler, Theresa Kristl, Andreas Teufel, Christian G. Huber, Peter J. Oefner, Rainer Spang, Claus Hellerbrand
2014 J jnl
Exact likelihood computation in Boolean networks with probabilistic time delays, and its application in signal network reconstruction.
Bioinform.
Sebastian Dümcke, Johannes Bräuer, Benedict Anchang, Rainer Spang, Niko Beerenwinkel, Achim Tresch
2013 B conf
Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks.
RECOMB
Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang
2013 J jnl
Considering Unknown Unknowns: Reconstruction of Nonconfoundable Causal Relations in Biological Networks.
J. Comput. Biol.
Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang
2011 J jnl
Estimating classification probabilities in high-dimensional diagnostic studies.
Bioinform.
Inka J. Appel, Wolfram Gronwald, Rainer Spang
2011 J jnl
Genomic data integration using guided clustering.
Bioinform.
Matthias Maneck, Alexandra Schrader, Dieter Kube, Rainer Spang
2009 J jnl
ReseqChip: Automated integration of multiple local context probe data from the MitoChip array in mitochondrial DNA sequence assembly.
BMC Bioinform.
Marian Thieme, Claudio Lottaz, Harald Niederstätter, Walther Parson, Rainer Spang, Peter J. Oefner
2008 J jnl
Analyzing gene perturbation screens with nested effects models in R and bioconductor.
Bioinform.
Holger Fröhlich, Tim Beißbarth, Achim Tresch, Dennis Kostka, Juby Jacob, Rainer Spang, Florian Markowetz
2008 J jnl
Detecting hierarchical structure in molecular characteristics of disease using transitive approximations of directed graphs.
Bioinform.
Juby Jacob, Marcel Jentsch, Dennis Kostka, Stefan Bentink, Rainer Spang
2008 J jnl
Microarray Based Diagnosis Profits from Better Documentation of Gene Expression Signatures.
PLoS Comput. Biol.
Dennis Kostka, Rainer Spang
2007 J jnl
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies.
Bioinform.
Claudio Lottaz, Joern Toedling, Rainer Spang
2007 J jnl
Compensating for Unknown Confounders in Microarray Data Analysis Using Filtered Permutations.
J. Comput. Biol.
Stefanie Scheid, Rainer Spang
2007 J jnl
Inferring cellular networks - a review.
BMC Bioinform.
Florian Markowetz, Rainer Spang
2007 — conf
Nested effects models for high-dimensional phenotyping screens.
ISMB/ECCB (Supplement of Bioinformatics)
Florian Markowetz, Dennis Kostka, Olga G. Troyanskaya, Rainer Spang
2006 — conf
Annotation-based Distance Measures for Patient Subgroup Discovery in Clinical Microarray Studies.
German Conference on Bioinformatics
Claudio Lottaz, Joern Toedling, Rainer Spang
2006 J jnl
Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring.
BMC Bioinform.
Joern Toedling, Peter Rhein, Richard Ratei, Leonid Karawajew, Rainer Spang
2006 B conf
Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data.
RECOMB
Stefanie Scheid, Rainer Spang
2006 J jnl
Selecting normalization genes for small diagnostic microarrays.
BMC Bioinform.
Jochen Jaeger, Rainer Spang
2006 J jnl
Similarities of Ordered Gene Lists.
J. Bioinform. Comput. Biol.
Xinan Yang, Stefan Bentink, Stefanie Scheid, Rainer Spang
2005 J jnl
Molecular decomposition of complex clinical phenotypes using biologically structured analysis of microarray data.
Bioinform.
Claudio Lottaz, Rainer Spang
2005 J jnl
Non-transcriptional pathway features reconstructed from secondary effects of RNA interference.
Bioinform.
Florian Markowetz, Jacques Bloch, Rainer Spang
2005 A conf
Probabilistic Soft Interventions in Conditional Gaussian Networks.
AISTATS
Florian Markowetz, Steffen Grossmann, Rainer Spang
2005 J jnl
stam - a Bioconductor compliant R package for structured analysis of microarray data.
BMC Bioinform.
Claudio Lottaz, Rainer Spang
2005 J jnl
twilight; a Bioconductor package for estimating the local false discovery rate.
Bioinform.
Stefanie Scheid, Rainer Spang
2004 J jnl
A Stochastic Downhill Search Algorithm for Estimating the Local False Discovery Rate.
IEEE ACM Trans. Comput. Biol. Bioinform.
Stefanie Scheid, Rainer Spang
2004 — conf
Finding disease specific alterations in the co-expression of genes.
ISMB/ECCB (Supplement of Bioinformatics)
Dennis Kostka, Rainer Spang
2002 J jnl
A Novel Approach to Remote Homology Detection: Jumping Alignments.
J. Comput. Biol.
Rainer Spang, Marc Rehmsmeier, Jens Stoye
2002 J jnl
Prediction and uncertainty in the analysis of gene expression profiles.
Silico Biol.
Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West
2001 J jnl
Limits of homology detection by pairwise sequence comparison.
Bioinform.
Rainer Spang, Martin Vingron
2001 — conf
Prediction and uncertainty in the analysis of gene expression profiles.
German Conference on Bioinformatics
Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West
2001 — conf
Sequence Database Search Using Jumping Alignments.
German Conference on Bioinformatics
Constantin Bannert, Marc Rehmsmeier, Rainer Spang, Jens Stoye
2000 A conf
Sequence Database Search Using Jumping Alignments.
ISMB
Rainer Spang, Marc Rehmsmeier, Jens Stoye
1999 — conf
A new method for modeling protein evolution.
German Conference on Bioinformatics
Tobias Müller, Rainer Spang, Martin Vingron
1998 J jnl
Statistics of large-scale sequence searching.
Bioinform.
Rainer Spang, Martin Vingron
1997 — conf
Statistics of large scale sequence searching.
German Conference on Bioinformatics
Rainer Spang, Martin Vingron