Tim Beißbarth

Head of department

Universitätsmedizin Göttingen

Germany

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About

Tim Beißbarth is the Head of the Department at Universitätsmedizin Göttingen, Germany. His research focuses on precision medicine and personalized cancer therapy, with recent publications addressing gene expression prediction, tumor vessel normalization, and biomarker discovery. Additionally, he has contributed to the development of innovative tools such as Onkopus and SeqCAT, which enhance the interpretation and analysis of biomedical data.

Articles (13)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2021

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2021

Collaborators (8)

Anna Buchheim

Univ.-Prof. Dr. biol. hum. Dipl.-Psych.

University of Innsbruck

AUSTRIA

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Katrin Cunitz

University of Innsbruck

AUSTRIA

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Marina Zeldovich

University of Innsbruck

AUSTRIA

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Júlia Perera-Bel

Head of Bioinformatics Unit

Institut Hospital del Mar d'Investigacions Mèdiques

SPAIN

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Stefan Wiemann

Head of Division

German Cancer Research Center (DKFZ)

GERMANY

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Hanibal Bohnenberger

University Medical Center Göttingen

GERMANY

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Kerstin Menck

University Hospital Münster

GERMANY

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Florian Auer

University of Augsburg

GERMANY

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Tim Beißbarth

Research Interests

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About

Articles (13)

Onkopus: precise interpretation and prioritization of sequence variants for biomedical research and precision medicine

Prediction of gene expression using histone modification patterns extracted by Particle Swarm Optimization

Advancing personalized cancer therapy: Onko_DrugCombScreen—a novel Shiny app for precision drug combination screening

Spatial Cellular Networks from omics data with SpaCeNet

Tumor Vessel Normalization via PFKFB3 Inhibition Alleviates Hypoxia and Increases Tumor Necrosis in Rectal Cancer upon Radiotherapy

The importance of DNA sequence for nucleosome positioning in transcriptional regulation

SeqCAT: Sequence Conversion and Analysis Toolbox

Adaptive digital tissue deconvolution

Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer

Influence of Sociodemographic, Premorbid, and Injury-Related Factors on Post-Traumatic Stress, Anxiety, and Depression after Traumatic Brain Injury

High-Throughput Profiling of Colorectal Cancer Liver Metastases Reveals Intra- and Inter-Patient Heterogeneity in the EGFR and WNT Pathways Associated with Clinical Outcome

Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer

A prediction-based method to estimate student learning outcome: Impact of response rate and gender differences on evaluation results

Collaborators (8)

Anna Buchheim

Katrin Cunitz

Marina Zeldovich

Júlia Perera-Bel

Stefan Wiemann

Hanibal Bohnenberger

Kerstin Menck

Florian Auer

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