Quantifying uncertainty of predictions from cancer progression models
- DOI
- 10.1093/bioinformatics/btag526
- Published
- 2026-07-24
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag526,
title = {Quantifying uncertainty of predictions from cancer progression models},
author = {Yanren Linda Hu and Simon Pfahler and Andreas Lösch and Stefan Vocht and Stefan Hansch and Kevin Rupp and Niko Beerenwinkel and Tilo Wettig and Rudolf Schill and Rainer Spang},
year = {2026},
journal = {Bioinformatics},
doi = {10.1093/bioinformatics/btag526},
url = {https://doi.org/10.1093/bioinformatics/btag526}
}RIS
TY - JOUR TI - Quantifying uncertainty of predictions from cancer progression models AU - Yanren Linda Hu AU - Simon Pfahler AU - Andreas Lösch AU - Stefan Vocht AU - Stefan Hansch AU - Kevin Rupp AU - Niko Beerenwinkel AU - Tilo Wettig AU - Rudolf Schill AU - Rainer Spang PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag526 UR - https://doi.org/10.1093/bioinformatics/btag526 ER -
APA
Hu, Y. L., Pfahler, S., Lösch, A., Vocht, S., Hansch, S., Rupp, K., Beerenwinkel, N., Wettig, T., Schill, R., & Spang, R. (2026). Quantifying uncertainty of predictions from cancer progression models. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag526
Source records
- crossref · retrieved 2026-11-10T07:32:34.809Z