Rainer Spang

发表

Statistics of large scale sequence searching

Martin Vingron, Rainer Spang, R. Spang, 1997, German Conference on Bioinformatics.

Selecting normalization genes for small diagnostic microarrays

Rainer Spang, Jochen Jaeger, R. Spang, 2006, BMC Bioinformatics.

Bayesian Regression Analysis in the "Large p, Small n" Paradigm with Application in DNA Microarray S

Mike West, Rainer Spang, Jeffrey R. Marks, 2000 .

Inferring cellular networks – a review

Rainer Spang, Florian Markowetz, F. Markowetz, 2007, BMC Bioinformatics.

Limits of homology detection by pairwise sequence comparison

Martin Vingron, Rainer Spang, R. Spang, 2001, Bioinform..

A new method for modeling protein evolution

Martin Vingron, Rainer Spang, Tobias Müller, 1999, German Conference on Bioinformatics.

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

Rainer Spang, Florian Markowetz, Jacques Bloch, 2005, Bioinform..

Automated macrophage counting in DLBCL tissue samples: a ROF filter based approach

Julia Richter, Rainer Spang, Marcus Wagner, 2019, Biological Procedures Online.

Conventional statistical methodology in large scale profiling

Rainer Spang, 2006 .

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

Rainer Spang, Dennis Kostka, Juby Jacob, 2008, Bioinform..

DTD: An R Package for Digital Tissue Deconvolution

Rainer Spang, Michael Altenbuchinger, Tilo Wettig, 2020, Journal of computational biology : a journal of computational molecular cell biology.

Estimating classification probabilities in high-dimensional diagnostic studies

Rainer Spang, Wolfram Gronwald, Inka J. Appel, 2011, Bioinform..

Gene networks from RNAi data

Rainer Spang, Florian Markowetz, 2004 .

A Novel Approach to Remote Homology Detection: Jumping Alignments

Jens Stoye, Rainer Spang, Marc Rehmsmeier, 2002, J. Comput. Biol..

Navigating towards Biologically Resolved Diagnoses through Structured Analysis of Microarrays

Rainer Spang, Claudio Lottaz, Julie Floch, 2003 .

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

Rainer Spang, Joern Toedling, Peter Rhein, 2006, BMC Bioinformatics.

Probabilistic Soft Interventions in Conditional Gaussian Networks

Rainer Spang, Florian Markowetz, Steffen Grossmann, 2005, AISTATS.

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

Rainer Spang, Julia C. Engelmann, Franziska Taruttis, 2015, Bioinform..

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

Rainer Spang, Stefanie Scheid, 2004, IEEE ACM Trans. Comput. Biol. Bioinform..

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

Giusi Moffa, Rainer Spang, Mohammad Javad Sadeh, 2013, RECOMB.

DNA Microarray Data Analysis and Regression Modeling for Genetic Expression Profiling

Rainer Spang, Jeffrey R. Marks, Joseph R. Nevins, 2000 .

Data Normalization of (1)H NMR Metabolite Fingerprinting Data Sets in the Presence of Unbalanced Metabolite Regulation.

Rainer Spang, Helena U Zacharias, Wolfram Gronwald, 2015, Journal of proteome research.

Modelling cancer progression using Mutual Hazard Networks

Rainer Spang, Tilo Wettig, Stefan Solbrig, 2018, bioRxiv.

Similarities of Ordered Gene Lists

Rainer Spang, Xinan Yang, Stefan Bentink, 2006, J. Bioinform. Comput. Biol..

Nested effects models for high-dimensional phenotyping screens

Olga G. Troyanskaya, Rainer Spang, Florian Markowetz, 2007, ISMB/ECCB.

Lyra -- containerized microservices for browsing shared biomedical data

Rainer Spang, Claudio Lottaz, Christian Kohler, 2020 .

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

Rainer Spang, Martin Pirkl, Elisabeth Hand, 2015, Bioinform..

Compensating for Unknown Confounders in Microarray Data Analysis Using Filtered Permutations

Rainer Spang, Stefanie Scheid, 2007, J. Comput. Biol..

Loss-Function Learning for Digital Tissue Deconvolution

Rainer Spang, Michael Altenbuchinger, Tilo Wettig, 2018, RECOMB.

High-Dimensional Profiling for Computational Diagnosis.

Rainer Spang, Wolfram Gronwald, Julia C. Engelmann, 2017, Methods in molecular biology.

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

Rainer Spang, Theresa Kristl, Christian G. Huber, 2015, PLoS Comput. Biol..

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

Rainer Spang, Claudio Lottaz, Walther Parson, 2009, BMC Bioinformatics.

Genomic data integration using guided clustering

Rainer Spang, Dieter Kube, Matthias Maneck, 2011, Bioinform..

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

Rainer Spang, Stefanie Scheid, 2006, RECOMB.

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

Rainer Spang, Claudio Lottaz, R. Spang, 2005, Bioinform..

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

Giusi Moffa, Rainer Spang, Mohammad Javad Sadeh, 2013, J. Comput. Biol..

Reference point insensitive molecular data analysis

Rainer Spang, Michael Altenbuchinger, D. Weber, 2017, Bioinform..

Prediction and uncertainty in the analysis of gene expression profiles

Mike West, Rainer Spang, Joseph Nevins, 2002, Silico Biol..

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

Holger Fröhlich, Achim Tresch, Rainer Spang, 2008, Bioinform..

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

Rainer Spang, Lars Grasedyck, Maren Klever, 2020, Journal of Mathematical Biology.

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

Achim Tresch, Niko Beerenwinkel, Rainer Spang, 2014, Bioinform..

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

Rainer Spang, Stefanie Scheid, R. Spang, 2005, Bioinform..

Molecular signatures that can be transferred across different omics platforms

Rainer Spang, Michael Altenbuchinger, Peter J. Oefner, 2017, Bioinform..

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

Rainer Spang, Claudio Lottaz, 2005, BMC Bioinformatics.

OrderedList - a bioconductor package for detecting similarity in ordered gene lists

Rainer Spang, Claudio Lottaz, Xinan Yang, 2006, Bioinform..

Evaluating the effect of perturbations in reconstructing network topologies

Rainer Spang, Florian Markowetz, F. Markowetz, 2003 .

Annotation-based Distance Measures for Patient Subgroup Discovery in Clinical Microarray Studies

Rainer Spang, Joern Toedling, Claudio Lottaz, 2007, German Conference on Bioinformatics.

Microarray Based Diagnosis Profits from Better Documentation of Gene Expression Signatures

Rainer Spang, Dennis Kostka, R. Spang, 2008, PLoS Comput. Biol..

Modelling cancer progression using Mutual Hazard Networks

Rainer Spang, Tilo Wettig, Stefan Solbrig, 2020, Bioinform..

Finding disease specific alterations in the co-expression of genes

Rainer Spang, Dennis Kostka, R. Spang, 2004, ISMB/ECCB.

BITES: balanced individual treatment effect for survival data pdf

Rainer Spang, Tim Beißbarth, Michael Altenbuchinger, 2022, Bioinformatics.

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

Rainer Spang, Lars Grasedyck, Maren Klever, 2021, ArXiv.

Microarray Data Analysis: Differential gene expression

Rainer Spang, Stefanie Scheid, 2005 .

Low urinary indoxyl sulfate levels early after transplantation reflect a disrupted microbiome and are associated with poor outcome.

Daniel Wolff, Rainer Spang, Joachim Hahn, 2015, Blood.

Comprehensive Metaboproteomics of Burkitt's and Diffuse Large B-Cell Lymphoma Cell Lines and Primary Tumor Tissues Reveals Distinct Differences in Pyruvate Content and Metabolism.

Rainer Spang, Wolfram Gronwald, Michael Hummel, 2017, Journal of proteome research.

Kinetic laws, phase–phase expansions, renormalization group, and INR calibration

Federico Morán, Rainer Spang, Peter Oefner, 2009, Proceedings of the National Academy of Sciences.

Concepts for the Estimation of Amino Acid Substitution Models

Martin Vingron, Rainer Spang, R. Spang, 2000 .

Wnt secretion is required to maintain high levels of Wnt activity in colon cancer cells

Giusi Moffa, Rainer Spang, Michael Boutros, 2013, Nature Communications.

Different Patterns of Epstein-Barr Virus Latency in Endemic Burkitt Lymphoma (BL) Lead to Distinct Variants within the BL-Associated Gene Expression Signature

Rainer Spang, Paul Kellam, Andrew I. Bell, 2012, Journal of Virology.

Computational diagnostics with gene expression profiles.

Rainer Spang, Claudio Lottaz, Florian Markowetz, 2008, Methods in molecular biology.

A Least Angle Regression Model for the Prediction of Canonical and Non-Canonical miRNA-mRNA Interactions

Rainer Spang, Julia C. Engelmann, R. Spang, 2012, PloS one.

Adjusting microbiome profiles for differences in microbial load by spike-in bacteria

Rainer Spang, Daniela Weber, Peter J Oefner, 2016, Microbiome.

Integrative normalization and comparative analysis for metabolic fingerprinting by comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry.

Rainer Spang, Claudio Lottaz, Inka J. Appel, 2009, Analytical chemistry.

Early Diagnostic Marker Panel Determination for Microarray Based Clinical Studies

Rainer Spang, Jochen Jaeger, Dieter Weichenhan, 2005, Statistical applications in genetics and molecular biology.

Non-transcriptional pathway features reconstructed from secondary effects of RNAi

Rainer Spang, Florian Markowetz, F. Markowetz, 2006 .

Metagenomic analysis of the stool microbiome in patients receiving allogeneic stem cell transplantation: loss of diversity is associated with use of systemic antibiotics and more pronounced in gastrointestinal graft-versus-host disease.

Daniel Wolff, Rainer Spang, Matthias Edinger, 2014, Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation.

Modeling the temporal interplay of molecular signaling and gene expression by using dynamic nested effects models

Achim Tresch, Rainer Spang, Marcel O. Vlad, 2009, Proceedings of the National Academy of Sciences.

Observations of filamentary structures near the vortex edge in the Arctic winter lower stratosphere

Rainer Spang, Martin Riese, Jörn Ungermann, 2013 .

A false discovery rate approach to separate the score distributions of induced and non-induced genes

Rainer Spang, Stefanie Scheid, 2003 .

A classification of patients.

Rainer Spang, Claudio Lottaz, Dennis Kostka, 2008, Dentist news.

From hype to reality: data science enabling personalized medicine

Holger Fröhlich, Thomas Lengauer, Blaz Zupan, 2018, BMC Medicine.

Detecting Common Gene Expression Patterns in Multiple Cancer Outcome Entities

Rainer Spang, Xinan Yang, Stefan Bentink, 2005, Biomedical microdevices.

Translocations activating IRF4 identify a subtype of germinal center-derived B-cell lymphoma affecting predominantly children and young adults.

Dirk Hasenclever, Rainer Spang, Michael Hummel, 2011, Blood.

Assessment of five microarray experiments on gene expression profiling of breast cancer

Rainer Spang, Jörn Tödling, 2003 .

Expression profiling of human idiopathic dilated cardiomyopathy.

Hans Lehrach, Rainer Spang, Steffen Hennig, 2003, Cardiovascular research.

Early dissemination seeds metastasis in breast cancer

Rainer Spang, Tanja Fehm, Brigitte Rack, 2016, Nature.

Scale-Invariant Biomarker Discovery in Urine and Plasma Metabolite Fingerprints.

Rainer Spang, Helena U Zacharias, Michael Altenbuchinger, 2017, Journal of proteome research.

Diagnostic signatures from microarrays: a bioinformatics concept for personalized medicine.

Rainer Spang, R. Spang, 2003, Drug discovery today.

Reconstructing gene regulation networks from passive observations and active interventions

Rainer Spang, Florian Markowetz, 2003 .