Author Beißbarth, Tim

• 2021 | Book Chapter
  ​ ​Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline​
  Schlotzig, V.; Kornrumpf, K.; König, A.; Tucholski, T.; Hügel, J.; Overbeck, T. R.& Beissbarth, T. et al.​ (2021)
  In:​Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn, et al.​ (Eds.), 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 – Technology, Methods, and Infrastructure for Networked Medical Research e.V. 2021 online in Kiel, Germany. ​IOS Press. DOI: https://doi.org/10.3233/SHTI210562 
  ​Details  DOI 

• 2021 | Conference Proceedings
  ​ ​German Medical Data Sciences: ​Proceedings of the Joint Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds E. V. ) and the Central European Network - International Biometric Society (CEN-IBS) 2020 in Berlin, Germany​
  Röhrig, R.; Beißbarth, T.; Brannath, W.; Prokosch, H.-U.; Schmidtmann, I.; Stolpe, S.& Zapf, A.​ (Eds.) (2021)
  65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)​, Berlin; Virtual.
  IOS Press.
  ​Details 

• 2021 | Journal Article | 
  ​ ​Prognostic value of the micronucleus assay for clinical endpoints in neoadjuvant radiochemotherapy for rectal cancer​
  Dröge, L. H.; Hennies, S.; Lorenzen, S.; Conradi, L.-C.; Quack, H.; Liersch, T. & Helms, C. et al.​ (2021) 
  BMC Cancer, 21(1) art. 219​.​ DOI: https://doi.org/10.1186/s12885-021-07914-5 
  ​Details  DOI 

• 2021 | Journal Article | 
  ​ ​Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer​
  Chereda, H.; Bleckmann, A.; Menck, K.; Perera-Bel, J.; Stegmaier, P.; Auer, F. & Kramer, F. et al.​ (2021) 
  Genome Medicine, 13(1) art. 42​.​ DOI: https://doi.org/10.1186/s13073-021-00845-7 
  ​Details  DOI 

• 2021 | Book Chapter
  ​ ​Management of Metadata Types in Basic Cardiological Research​
  Kusch, H. ; Kossen, R. ; Suhr, M.; Freckmann, L.; Weber, L.; Henke, C.& Lehmann, C. et al.​ (2021)
  In:​Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn, et al.​ (Eds.), German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal pp. 59​-68.  DOI: https://doi.org/10.3233/SHTI210542 
  ​Details  DOI  PMID  PMC 

• 2021 | Book Chapter
  ​ ​Relevant Aspects for Sustainable Open Source Pandemic Apps and Platform Deployment with Focus on Community Building​
  Thole, D.; Diesterhöft, T. O.; Vogel, S.; Greve, M.; Bauer, E.; Strathmann, S.  & Elsner, C. et al.​ (2021)
  In:​Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn, et al.​ (Eds.), German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal pp. 186​-193.  DOI: https://doi.org/10.3233/SHTI210559 
  ​Details  DOI  PMID  PMC 

• 2021 | Book Chapter
  ​ ​Application of Pre-Trained Deep Learning Models for Clinical ECGs​
  Bender, T.; Seidler, T.; Bengel, P.; Sax, U.& Krefting, D. ​ (2021)
  In:​Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn, et al.​ (Eds.), German Medical Data Sciences 2021: Digital Medicine: Recognize – Understand – Heal pp. 39​-45. (Vol. 283). ​IOS Press. DOI: https://doi.org/10.3233/SHTI210539 
  ​Details  DOI  PMID  PMC 

• 2021 | Journal Article | 
  ​ ​WNT11/ROR2 signaling is associated with tumor invasion and poor survival in breast cancer​
  Menck, K.; Heinrichs, S.; Wlochowitz, D.; Sitte, M.; Noeding, H.; Janshoff, A. & Treiber, H. et al.​ (2021) 
  Journal of Experimental & Clinical Cancer Research, 40(1) art. 395​.​ DOI: https://doi.org/10.1186/s13046-021-02187-z 
  ​Details  DOI 

• 2022 | Journal Article
  ​ ​An Evidence Based Reporting System for Molecular Tumorboards Identifies Novel Therapeutics for T-Cell Lymphomas​
  Schmidt, N.; Kornrumpf, K.; Ries, L.; Chapuy, B.; Höltermann, C.; Beißbarth, T. & Dönitz, J. et al.​ (2022) 
  Blood, 140(Supplement 1) pp. 11896​-11897​.​ DOI: https://doi.org/10.1182/blood-2022-167435 
  ​Details  DOI 

• 2023 | Book Chapter
  ​ ​Onkopipe: A Snakemake Based DNA-Sequencing Pipeline for Clinical Variant Analysis in Precision Medicine​
  Yang, J.; Beißbarth, T.& Dönitz, J.​ (2023)
  In:​Röhrig, Rainer; Grabe, Niels; Haag, Martin; Hübner, Ursula; Sax, Ulrich; Oliver Schmidt, Carsten; Sedlmayr, Martin, et al.​ (Eds.), German Medical Data Sciences 2023 – Science. Close to People. : Proceedings of the 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) 2023 in Heilbronn, Germany. ​IOS Press. DOI: https://doi.org/10.3233/SHTI230694 
  ​Details  DOI 

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