Tim Beißbarth
Orcid: 0000-0001-6509-2143
According to our database1,
Tim Beißbarth
authored at least 40 papers
between 2000 and 2023.
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Bibliography
2023
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.
Bioinform., October, 2023
Onkopipe: A Snakemake Based DNA-Sequencing Pipeline for Clinical Variant Analysis in Precision Medicine.
Proceedings of the German Medical Data Sciences 2023 - Science. Close to People., 2023
2022
Identifying Actionable Variants in Cancer - The Dual Web and Batch Processing Tool MTB-Report.
Proceedings of the German Medical Data Sciences 2022 - Future Medicine: More Precise, More Integrative, More Sustainable! - Proceedings of the Joint Conference of the 67th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 14th Annual Meeting of the TMF, 2022
2021
Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline.
Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021
2019
Reconstruction of Different Modes of WNT Dependent Protein Networks from Time Series Protein Quantification.
Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019
Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.
Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019
2018
Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018
2015
Automated 3D-2D registration of X-ray microcomputed tomography with histological sections for dental implants in bone using chamfer matching and simulated annealing.
Comput. Medical Imaging Graph., 2015
BMC Bioinform., 2015
pwOmics: an R package for pathway-based integration of time-series omics data using public database knowledge.
Bioinform., 2015
2014
Boolean ErbB network reconstructions and perturbation simulations reveal individual drug response in different breast cancer cell lines.
BMC Syst. Biol., 2014
Bioinform., 2014
2013
Connecting high-dimensional mRNA and miRNA expression data for binary medical classification problems.
Comput. Methods Programs Biomed., 2013
Bioinform., 2013
Utilization of ordinal response structures in classification with high-dimensional expression data.
Proceedings of the German Conference on Bioinformatics 2013, 2013
2011
BMC Bioinform., 2011
Reporting FDR analogous confidence intervals for the log fold change of differentially expressed genes.
BMC Bioinform., 2011
Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer.
BMC Bioinform., 2011
Inferring signalling networks from longitudinal data using sampling based approaches in the R-package 'ddepn'.
BMC Bioinform., 2011
Comparison of global tests for functional gene sets in two-group designs and selection of potentially effect-causing genes.
Bioinform., 2011
pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery.
Bioinform., 2011
2010
A new sensitivity-preferred strategy to build prediction rules for therapy response of cancer patients using gene expression data.
Comput. Methods Programs Biomed., 2010
Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients.
Bioinform., 2010
Dynamic deterministic effects propagation networks: learning signalling pathways from longitudinal protein array data.
Bioinform., 2010
2009
Modeling ERBB receptor-regulated G1/S transition to find novel targets for de novo trastuzumab resistance.
BMC Syst. Biol., 2009
Deterministic Effects Propagation Networks for reconstructing protein signaling networks from multiple interventions.
BMC Bioinform., 2009
2008
BMC Bioinform., 2008
Estimating large-scale signaling networks through nested effect models with intervention effects from microarray data.
Bioinform., 2008
Analyzing gene perturbation screens with nested effects models in R and bioconductor.
Bioinform., 2008
2007
Discrimination of Direct and Indirect Interactions in a Network of Regulatory Effects.
J. Comput. Biol., 2007
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products.
BMC Bioinform., 2007
Large scale statistical inference of signaling pathways from RNAi and microarray data.
BMC Bioinform., 2007
Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data.
Proceedings of the German Conference on Bioinformatics, 2007
2005
A systematic approach for comprehensive T-cell epitope discovery using peptide libraries.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005
2000