Joachim Selbig

发表

MetaGeneAlyse: analysis of integrated transcriptional and metabolite data

Carsten O. Daub, Sebastian Kloska, Joachim Selbig, 2003, Bioinform..

Independent components analysis of starch deficient pgm mutants

Joachim Selbig, Matthias Scholz, Yves Gibon, 2004, German Conference on Bioinformatics.

Diversity and complexity of HIV-1 drug resistance: A bioinformatics approach to predicting phenotype from genotype

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2002, Proceedings of the National Academy of Sciences of the United States of America.

Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach

Joachim Selbig, Dirk Repsilber, Sabine Kern, 2010, BMC Bioinformatics.

Analysis of phylogenetic signal in protostomial intron patterns using Mutual Information

Joachim Selbig, Natascha Hill, Alexander Leow, 2012, Theory in Biosciences.

Spatiotemporal dynamics of the Calvin cycle: Multistationarity and symmetry breaking instabilities

Joachim Selbig, Jürgen Kurths, Zoran Nikoloski, 2011, Biosyst..

Methods for optimizing antiviral combination therapies

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2003, ISMB.

PaVESy: Pathway Visualization and Editing System

Joachim Selbig, Alexander Lüdemann, Daniel Weicht, 2004, Bioinform..

PhosPhAt: a database of phosphorylation sites in Arabidopsis thaliana and a plant-specific phosphorylation site predictor

Joachim Selbig, Dirk Walther, Wolfram Weckwerth, 2007, Nucleic Acids Res..

Robustness of metabolic networks: A review of existing definitions

Joachim Selbig, Zoran Nikoloski, Sylvain Blachon, 2011, Biosyst..

Stoichiometric capacitance reveals the theoretical capabilities of metabolic networks

Joachim Selbig, Zoran Nikoloski, Sergio Grimbs, 2012, Bioinform..

Refined elasticity sampling for Monte Carlo-based identification of stabilizing network patterns

Joachim Selbig, Sergio Grimbs, Dorothee Childs, 2015, Bioinform..

Knowledge Acquisition by Inductive Learning from Examples

Joachim Selbig, J. Selbig, 1986, AII.

Estimating mutual information using B-spline functions – an improved similarity measure for analysing gene expression data

Carsten O. Daub, Sebastian Kloska, Joachim Selbig, 2004, BMC Bioinformatics.

Comparison of metabolite profiles in U87 glioma cells and mesenchymal stem cells

Joachim Selbig, Lothar Willmitzer, Christian Schichor, 2011, Biosyst..

Integrating functional knowledge during sample clustering for microarray data using unsupervised decision trees.

Joachim Selbig, Dirk Repsilber, Florian Sohler, 2007, Biometrical journal. Biometrische Zeitschrift.

The mutual information: Detecting and evaluating dependencies between variables

Carsten O. Daub, Joachim Selbig, Jürgen Kurths, 2002, ECCB.

Threshold extraction in metabolite concentration data

Torsten Schaub, Joachim Selbig, André Flöter, 2004, German Conference on Bioinformatics.

Visualization and analysis of molecular data.

Joachim Selbig, Matthias Scholz, Matthias Scholz, 2007, Methods in molecular biology.

Data and text mining Computational methods for the design of effective therapies against drug resistant HIV strains

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2005 .

HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods

Joachim Selbig, Michal Rosen-Zvi, Ehud Aharoni, 2009, Similarity-Based Clustering.

Phenomic prediction of maize hybrids

Joachim Selbig, Thomas Altmann, Christian Edlich-Muth, 2016, Biosyst..

Hardness and Approximability of the Inverse Scope Problem

Joachim Selbig, Oliver Ebenhöh, Zoran Nikoloski, 2008, WABI.

Identifying drug resistance-associated patterns in HIV genotypes

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2001, German Conference on Bioinformatics.

Robin: An Intuitive Wizard Application for R-Based Expression Microarray Quality Assessment and Analysis1[W][OA]

Joachim Selbig, Dirk Walther, Mark Stitt, 2010, Plant Physiology.

Detection and characterization of 3D-signature phosphorylation site motifs and their contribution towards improved phosphorylation site prediction in proteins

Joachim Selbig, Dirk Walther, Wolfram Weckwerth, 2009, BMC Bioinformatics.

Modelling Biological Networks by Action Languages Via Answer Set Programming

Torsten Schaub, Joachim Selbig, Susanne Grell, 2006, ICLP.

Non-linear PCA: a missing data approach

Joachim Selbig, Matthias Scholz, Charles L. Guy, 2005, Bioinform..

Towards a Graph-Theoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data

Joachim Selbig, Alberto Castellini, Christian Klukas, 2015, IPCAT.

Using named entity recognition for ontology annotation: An experimental approach for Arabidopsis functional genome annotation

Joachim Selbig, M. Hofmann, Mark Stitt, 2005 .

Network Structure and Biological Function: Reconstruction, Modeling, and Statistical Approaches

Joachim Selbig, Dirk Repsilber, Matthias Steinfath, 2009, EURASIP J. Bioinform. Syst. Biol..

Mass-balanced randomization of metabolic networks

Joachim Selbig, Oliver Ebenhöh, Zoran Nikoloski, 2011, Bioinform..

Metabolite fingerprinting: detecting biological features by independent component analysis

Joachim Selbig, Matthias Scholz, Oliver Fiehn, 2004, Bioinform..

Metabolite profiles as a reflection of physiological status -- a methodological validation

Joachim Selbig, Dirk Repsilber, Alisdair R. Fernie, 2006, J. Integr. Bioinform..

ExPlanes: Exploring Planes in Triplet Data

Joachim Selbig, Matthias Holschneider, Yehuda Ben-Zion, 2010, J. Integr. Bioinform..

Principal components analysis.

Joachim Selbig, Stefanie Hartmann, Sebastian Klie, 2013, Methods in molecular biology.

Quantitative phenotype prediction by support vector machines

Thomas Lengauer, Joachim Selbig, Barbara Schmidt, 2002 .

Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana

Joachim Selbig, Henning Redestig, Daniel Weicht, 2007, BMC Bioinformatics.

Learning Multiple Evolutionary Pathways from Cross-Sectional Data

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2005, J. Comput. Biol..

Zum automatischen Erlernen von Beschreibungen für Klassen von Veränderungen strukturierter Objekte aus Beispielen

Joachim Selbig, 1988 .

Mtreemix: a software package for learning and using mixture models of mutagenetic trees

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2005, Bioinform..

Modeling Biological Networks by Action Languages via Answer Set Programming

Torsten Schaub, Joachim Selbig, Susanne Grell, 2008, Constraints.

Integrated data analysis for genome-wide research.

Joachim Selbig, Dirk Walther, Dirk Repsilber, 2007, EXS.

Unsupervised Decision Trees Structured by Gene Ontology (GO-UDTs) for the Interpretation of Microarray Data

Joachim Selbig, Florian Sohler, Ralf Zimmer, 2006, GfKl.

Geno2pheno: Interpreting Genotypic HIV Drug Resistance Tests

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2001, IEEE Intell. Syst..

A distinct metabolic signature predicts development of fasting plasma glucose

Joachim Selbig, Lothar Willmitzer, Joachim Spranger, 2012, Journal of Clinical Bioinformatics.

Hypothesis-driven approach to predict transcriptional units from gene expression data

Joachim Selbig, Björn H. Junker, Alexander Lüdemann, 2004, Bioinform..

Proceedings of the German Conference on Bioinformatics, GCB 2007, September 26-28, 2007, Potsdam, Germany

Martin Vingron, Alexander Schliep, Joachim Selbig, 2007, German Conference on Bioinformatics.

Concept Learning by Structured Examples - An Algebraic Approach

Joachim Selbig, Fritz Wysotzki, Werner Kolbe, 1981, IJCAI.

Decision tree-based formation of consensus protein secondary structure prediction

Heinz-Theodor Mevissen, Thomas Lengauer, Joachim Selbig, 1999, Bioinform..

A MATLAB toolbox for structural kinetic modeling

Joachim Selbig, Sergio Grimbs, Dorothee Girbig, 2012, Bioinform..

Biological Cluster Evaluation for Gene Function Prediction

Joachim Selbig, Zoran Nikoloski, Sebastian Klie, 2014, J. Comput. Biol..

Species-specific analysis of protein sequence motifs using mutual information

Joachim Selbig, Wolfram Weckwerth, Jan Hummel, 2005, BMC Bioinformatics.

Geno2pheno: estimating phenotypic drug resistance from HIV-1 genotypes

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2003, Nucleic Acids Res..

Ensuring comparability for valid design and analysis of microarray gene expression experiments

Joachim Selbig, Andreas Ziegler, Dirk Repsilber, 2006 .

pcaMethods - a bioconductor package providing PCA methods for incomplete data

Joachim Selbig, Dirk Walther, Matthias Scholz, 2007, Bioinform..

Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV

Joachim Büch, Thomas Lengauer, Joachim Selbig, 2006, DILS.

A plant resource and experiment management system based on the Golm Plant Database as a basic tool for omics research

Joachim Selbig, Dirk Walther, Alexander Lüdemann, 2008, Plant Methods.

Tailored Strategies for the Analysis of Metabolomic Data

Joachim Selbig, Kathrin Jürchott, Kristen Feher, 2012, IPCAT.

ProMEX: a mass spectral reference database for proteins and protein phosphorylation sites

Joachim Selbig, Dirk Walther, Wolfram Weckwerth, 2007, BMC Bioinformatics.

Validation and functional annotation of expression-based clusters based on gene ontology

Joachim Selbig, Ralf Steuer, Peter Humburg, 2005, BMC Bioinformatics.

Learning multiple evolutionary pathways from cross-sectional data

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2004, J. Comput. Biol..

F2C2: a fast tool for the computation of flux coupling in genome-scale metabolic networks

Joachim Selbig, Alexander Bockmayr, Abdelhalim Larhlimi, 2012, BMC Bioinformatics.

From structure to dynamics of metabolic pathways: application to the plant mitochondrial TCA cycle

Joachim Selbig, Thilo Gross, Alisdair R. Fernie, 2007, Bioinform..

Correlative GC-TOF-MS-based metabolite profiling and LC-MS-based protein profiling reveal time-related systemic regulation of metabolite–protein networks and improve pattern recognition for multiple biomarker selection

Joachim Selbig, Matthias Scholz, Wolfram Weckwerth, 2005, Metabolomics.

Stability of Metabolic Correlations under Changing Environmental Conditions in Escherichia coli – A Systems Approach

Joachim Selbig, Lothar Willmitzer, Zoran Nikoloski, 2009, PloS one.

The Metabolic Response of Heterotrophic Arabidopsis Cells to Oxidative Stress1[W]

Joachim Selbig, Dirk Repsilber, Henning Redestig, 2006, Plant Physiology.

QTL analysis of early stage heterosis for biomass in Arabidopsis

Hanno Scharr, Ulrich Schurr, Joachim Selbig, 2009, Theoretical and Applied Genetics.

A gentle guide to the analysis of metabolomic data.

Joachim Selbig, Wolfram Weckwerth, Ralf Steuer, 2007, Methods in molecular biology.

Geno2pheno is predictive of short-term virological response

Thomas Lengauer, Joachim Selbig, Niko Beerenwinkel, 2002 .

Scoring and identifying organism-specific functional patterns and putative phosphorylation sites in protein sequences using mutual information.

Joachim Selbig, Wolfram Weckwerth, J. Selbig, 2003, Biochemical and biophysical research communications.

Metabolic networks are NP-hard to reconstruct.

Joachim Selbig, Zoran Nikoloski, Sergio Grimbs, 2008, Journal of theoretical biology.

Measuring Distances Between Variables by Mutual Information

Carsten O. Daub, Joachim Selbig, Jürgen Kurths, 2005 .

Co-ordination and divergence of cell-specific transcription and translation of genes in arabidopsis root cells

Joachim Selbig, Staffan Persson, Sebastian Klie, 2014, Annals of botany.

Evolutionary significance of metabolic network properties

Joachim Selbig, Oliver Ebenhöh, Zoran Nikoloski, 2011, Journal of The Royal Society Interface.

Decision trees as a simple-to-use and reliable tool to identify individuals with impaired glucose metabolism or type 2 diabetes mellitus.

Joachim Selbig, Joachim Spranger, Manuela Hische, 2010, European journal of endocrinology.

Identification of heterotic metabolite QTL in Arabidopsis thaliana RIL and IL populations.

Joachim Selbig, Thomas Altmann, Lothar Willmitzer, 2009, The Plant journal : for cell and molecular biology.

Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responses1

Joachim Selbig, Yves Gibon, Mark Stitt, 2005, Plant Physiology.

Bioinformatics approach to predicting HIV drug resistance

Joachim Selbig, Rolf Kaiser, F. Cordes, 2006, Expert review of molecular diagnostics.

Analysis of protein sheet topologies by graph theoretical methods

Joachim Selbig, Ina Koch, J. Selbig, 1992, Proteins.

A new network model explains the evolution of plant-specific metabolic networks

Joachim Selbig, Joachim Selbig, Zoran Nikoloski, 2009 .

Identification of metabolic and biomass QTL in Arabidopsis thaliana in a parallel analysis of RIL and IL populations

Joachim Selbig, Thomas Altmann, Henning Redestig, 2007, The Plant journal : for cell and molecular biology.

BioMiner: Paving the Way for Personalized Medicine

Joachim Selbig, Kristina Gruden, Michal Or-Guil, 2015, Cancer informatics.

A Robot-Based Platform to Measure Multiple Enzyme Activities in Arabidopsis Using a Set of Cycling Assays: Comparison of Changes of Enzyme Activities and Transcript Levels during Diurnal Cycles and in Prolonged Darknessw⃞

Joachim Selbig, Yves Gibon, Mark Stitt, 2004, The Plant Cell Online.

Metabolomics of temperature stress.

Joachim Selbig, Charles L. Guy, Joachim Kopka, 2007, Physiologia plantarum.

The Golm Metabolome Database: a database for GC-MS based metabolite profiling

Joachim Selbig, Dirk Walther, Jan Hummel, 2007 .

Decision tree supported substructure prediction of metabolites from GC-MS profiles

Joachim Selbig, Dirk Walther, Jan Hummel, 2010, Metabolomics.

The metabolic signature related to high plant growth rate in Arabidopsis thaliana

Joachim Selbig, Thomas Altmann, Lothar Willmitzer, 2007, Proceedings of the National Academy of Sciences.

Haplotype inference from unphased SNP data in heterozygous polyploids based on SAT

Joachim Selbig, Rico Basekow, Birgit Kersten, 2008, BMC Genomics.

Starch as a major integrator in the regulation of plant growth

Joachim Selbig, Thomas Altmann, Yves Gibon, 2009, Proceedings of the National Academy of Sciences.

Integration of Metabolomic and Proteomic Phenotypes

Joachim Selbig, Matthias Scholz, Wolfram Weckwerth, 2008, Molecular & Cellular Proteomics.

Metabolic profiling reveals key metabolic features of renal cell carcinoma

Joachim Selbig, Lothar Willmitzer, Kurt Miller, 2009, Journal of cellular and molecular medicine.