Predicting the Effect of Variants of Unknown Significance in Molecular Tumor Boards with the VUS-Predict Pipeline
2021 | book part. A publication with affiliation to the University of Göttingen.
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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
Documents & Media
Details
- Authors
- Schlotzig, Vanessa; Kornrumpf, Kevin; König, Alexander; Tucholski, Tim; Hügel, Jonas; Overbeck, Tobias R.; Beissbarth, Tim; Koch, Raphael; Dönitz, Jürgen
- Editors
- Röhrig, Rainer; Beißbarth, Tim; König, Jochem; Ose, Claudia; Rauch, Geraldine; Sax, Ulrich; Schreiweis, Björn; Sedlmayr, Martin
- Issue Date
- 2021
- Publisher
- IOS Press
- Series
- Studies in Health Technology and Informatics
- ISBN
- 9781643682068
- eISBN
- 9781643682075
