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Disambiguation of "Beissbarth, Tim"

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Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer

, , , , and . Studies in health technology and informatics, (September 2019)
DOI: 10.3233/SHTI190824

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Tim Beißbarth

Tim Beissbarth

Tim Beißbarth

Hermann Beissbarth

Tim Mattern

Regeneration der Grünlandnarbe nach Winterbeweidung mit Rindern. Uni Gießen, (2009)
 

Other publications of authors with the same name

Sequential Interim Analyses of Survival Data in DNA Microarray Experiments., , and . BMC Bioinform., (2011)Graph based fusion of miRNA and mRNA expression data improves clinical outcome prediction in prostate cancer., , , , , , , , and . BMC Bioinform., (2011)BITES: Balanced Individual Treatment Effect for Survival data., , , , , , , , , and . CoRR, (2022)Reconstruction of Different Modes of WNT Dependent Protein Networks from Time Series Protein Quantification., , , , , , , and . GMDS, volume 267 of Studies in Health Technology and Informatics, page 175-180. IOS Press, (2019)A systematic approach for comprehensive T-cell epitope discovery using peptide libraries., , , , and . ISMB (Supplement of Bioinformatics), page 29-37. (2005)Whither systems medicine?, , , , , , , , , and 1 other author(s). Experimental & molecular medicine, 50 (3): e453--e453 (2018)rBiopaxParser - an R package to parse, modify and visualize BioPAX data., , , , and . Bioinform., 29 (4): 520-522 (2013)Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline., , , , , , , , and . GMDS, volume 283 of Studies in Health Technology and Informatics, page 209-216. IOS Press, (2021)Utilization of ordinal response structures in classification with high-dimensional expression data., , and . GCB, volume 34 of OASIcs, page 90-100. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2013)Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification., , , , , , , , and . Bioinform., (October 2023)