Rainer Spang

According to our database, Rainer Spang authored at least 49 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Taming numerical imprecision by adapting the KL divergence to negative probabilities.

Simon Pfahler, Peter Georg, Rudolf Schill, Maren Klever, Lars Grasedyck, Rainer Spang, Tilo Wettig

Stat. Comput., October, 2024

Correcting for Observation Bias in Cancer Progression Modeling.

Rudolf Schill, Maren Klever, Andreas Lösch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel

J. Comput. Biol., 2024

dabih - encrypted data storage and sharing platform.

Michael Huttner, Jakob Simeth, Renato Liguori, Fulvia Ferrazzi, Rainer Spang

CoRR, 2024

Overcoming Observation Bias for Cancer Progression Modeling.

Rudolf Schill, Maren Klever, Andreas Lösch, Y. Linda Hu, Stefan Vocht, Kevin Rupp, Lars Grasedyck, Rainer Spang, Niko Beerenwinkel

Proceedings of the Research in Computational Molecular Biology, 2024

2023

Anomaly detection in mixed high-dimensional molecular data.

Lena Buck, Tobias Schmidt, Maren Feist, Philipp Schwarzfischer, Dieter Kube, Peter J. Oefner, Helena U. Zacharias, Michael Altenbuchinger, Katja Dettmer, Wolfram Gronwald, Rainer Spang

Bioinform., August, 2023

2022

BITES: Balanced Individual Treatment Effect for Survival data.

Stefan Schrod, Andreas Schäfer, Stefan Solbrig, Robert Lohmayer, Wolfram Gronwald, Peter J. Oefner, Tim Beißbarth, Rainer Spang, Helena U. Zacharias, Michael Altenbuchinger

CoRR, 2022

2021

Differentiated uniformization: A new method for inferring Markov chains on combinatorial state spaces including stochastic epidemic models.

Kevin Rupp, Rudolf Schill, Jonas Süskind, Peter Georg, Maren Klever, Andreas Lösch, Lars Grasedyck, Tilo Wettig, Rainer Spang

CoRR, 2021

2020

DTD: An R Package for Digital Tissue Deconvolution.

Marian Schön, Jakob Simeth, Paul Heinrich, Franziska Görtler, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Michael Altenbuchinger, Rainer Spang

J. Comput. Biol., 2020

Loss-Function Learning for Digital Tissue Deconvolution.

Franziska Görtler, Marian Schön, Jakob Simeth, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, Michael Altenbuchinger

J. Comput. Biol., 2020

Low-rank tensor methods for Markov chains with applications to tumor progression models.

Peter Georg, Lars Grasedyck, Maren Klever, Rudolf Schill, Rainer Spang, Tilo Wettig

CoRR, 2020

Modelling cancer progression using Mutual Hazard Networks.

Rudolf Schill, Stefan Solbrig, Tilo Wettig, Rainer Spang

Bioinform., 2020

2018

Loss-Function Learning for Digital Tissue Deconvolution.

Franziska Görtler, Stefan Solbrig, Tilo Wettig, Peter J. Oefner, Rainer Spang, Michael Altenbuchinger

Proceedings of the Research in Computational Molecular Biology, 2018

2017

Molecular signatures that can be transferred across different omics platforms.

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

Bioinform., 2017

Reference point insensitive molecular data analysis.

Michael Altenbuchinger, Thorsten Rehberg, H. U. Zacharias, Frank Stämmler, K. Dettmer, D. Weber, Andreas Hiergeist, A. Gessner, E. Holler, Peter J. Oefner, Rainer Spang

Bioinform., 2017

2016

Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.

Martin Pirkl, Elisabeth Hand, Dieter Kube, Rainer Spang

Bioinform., 2016

2015

Causal Modeling of Cancer-Stromal Communication Identifies PAPPA as a Novel Stroma-Secreted Factor Activating NFκB Signaling in Hepatocellular Carcinoma.

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

PLoS Comput. Biol., 2015

A statistical approach to virtual cellular experiments: improved causal discovery using accumulation IDA (aIDA).

Franziska Taruttis, Rainer Spang, Julia C. Engelmann

Bioinform., 2015

2014

Exact likelihood computation in Boolean networks with probabilistic time delays, and its application in signal network reconstruction.

Sebastian Dümcke, Johannes Bräuer, Benedict Anchang, Rainer Spang, Niko Beerenwinkel, Achim Tresch

Bioinform., 2014

2013

Considering Unknown Unknowns: Reconstruction of Nonconfoundable Causal Relations in Biological Networks.

Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang

J. Comput. Biol., 2013

Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks.

Mohammad Javad Sadeh, Giusi Moffa, Rainer Spang

Proceedings of the Research in Computational Molecular Biology, 2013

2011

Genomic data integration using guided clustering.

Matthias Maneck, Alexandra Schrader, Dieter Kube, Rainer Spang

Bioinform., 2011

Estimating classification probabilities in high-dimensional diagnostic studies.

Inka J. Appel, Wolfram Gronwald, Rainer Spang

Bioinform., 2011

2009

ReseqChip: Automated integration of multiple local context probe data from the MitoChip array in mitochondrial DNA sequence assembly.

Marian Thieme, Claudio Lottaz, Harald Niederstätter, Walther Parson, Rainer Spang, Peter J. Oefner

BMC Bioinform., 2009

2008

Microarray Based Diagnosis Profits from Better Documentation of Gene Expression Signatures.

Dennis Kostka, Rainer Spang

PLoS Comput. Biol., 2008

Detecting hierarchical structure in molecular characteristics of disease using transitive approximations of directed graphs.

Juby Jacob, Marcel Jentsch, Dennis Kostka, Stefan Bentink, Rainer Spang

Bioinform., 2008

Analyzing gene perturbation screens with nested effects models in R and bioconductor.

Holger Fröhlich, Tim Beißbarth, Achim Tresch, Dennis Kostka, Juby Jacob, Rainer Spang, Florian Markowetz

Bioinform., 2008

2007

Compensating for Unknown Confounders in Microarray Data Analysis Using Filtered Permutations.

Stefanie Scheid, Rainer Spang

J. Comput. Biol., 2007

Inferring cellular networks - a review.

Florian Markowetz, Rainer Spang

BMC Bioinform., 2007

Annotation-based distance measures for patient subgroup discovery in clinical microarray studies.

Claudio Lottaz, Joern Toedling, Rainer Spang

Bioinform., 2007

Nested effects models for high-dimensional phenotyping screens.

Florian Markowetz, Dennis Kostka, Olga G. Troyanskaya, Rainer Spang

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006

Similarities of Ordered Gene Lists.

Xinan Yang, Stefan Bentink, Stefanie Scheid, Rainer Spang

J. Bioinform. Comput. Biol., 2006

Automated in-silico detection of cell populations in flow cytometry readouts and its application to leukemia disease monitoring.

Joern Toedling, Peter Rhein, Richard Ratei, Leonid Karawajew, Rainer Spang

BMC Bioinform., 2006

Selecting normalization genes for small diagnostic microarrays.

Jochen Jaeger, Rainer Spang

BMC Bioinform., 2006

<i>OrderedList</i> - a bioconductor package for detecting similarity in ordered gene lists.

Claudio Lottaz, Xinan Yang, Stefanie Scheid, Rainer Spang

Bioinform., 2006

Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data.

Stefanie Scheid, Rainer Spang

Proceedings of the Research in Computational Molecular Biology, 2006

2005

stam - a Bioconductor compliant R package for structured analysis of microarray data.

Claudio Lottaz, Rainer Spang

BMC Bioinform., 2005

twilight; a Bioconductor package for estimating the local false discovery rate.

Stefanie Scheid, Rainer Spang

Bioinform., 2005

Non-transcriptional pathway features reconstructed from secondary effects of RNA interference.

Florian Markowetz, Jacques Bloch, Rainer Spang

Bioinform., 2005

Molecular decomposition of complex clinical phenotypes using biologically structured analysis of microarray data.

Claudio Lottaz, Rainer Spang

Bioinform., 2005

Probabilistic Soft Interventions in Conditional Gaussian Networks.

Florian Markowetz, Steffen Grossmann, Rainer Spang

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

A Stochastic Downhill Search Algorithm for Estimating the Local False Discovery Rate.

Stefanie Scheid, Rainer Spang

IEEE ACM Trans. Comput. Biol. Bioinform., 2004

Finding disease specific alterations in the co-expression of genes.

Dennis Kostka, Rainer Spang

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

2002

A Novel Approach to Remote Homology Detection: Jumping Alignments.

Rainer Spang, Marc Rehmsmeier, Jens Stoye

J. Comput. Biol., 2002

Prediction and uncertainty in the analysis of gene expression profiles.

Rainer Spang, Carrie Blanchette, Harry Zuzan, Jeffrey R. Marks, Joseph Nevins, Mike West

Silico Biol., 2002

2001

Limits of homology detection by pairwise sequence comparison.

Rainer Spang, Martin Vingron

Bioinform., 2001

Sequence Database Search Using Jumping Alignments.

Constantin Bannert, Marc Rehmsmeier, Rainer Spang, Jens Stoye

Proceedings of the Computer science and biology: Proceedings of the German Conference on Bioinformatics, 2001

2000

Sequence Database Search Using Jumping Alignments.

Rainer Spang, Marc Rehmsmeier, Jens Stoye

Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

1999

A new method for modeling protein evolution.

Tobias Müller, Rainer Spang, Martin Vingron

Proceedings of the German Conference on Bioinformatics, 1999

1998

Statistics of large-scale sequence searching.

Rainer Spang, Martin Vingron

Bioinform., 1998