Quantifying uncertainty of predictions from cancer progression models.
- DOI
- 10.1093/bioinformatics/btag526
- Published
- 2026 Aug 3
- Container
- Bioinformatics (Oxford, England)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag526,
title = {Quantifying uncertainty of predictions from cancer progression models.},
author = {Hu YL and Pfahler S and Lösch A and Vocht S and Hansch S and Rupp K and Beerenwinkel N and Wettig T and Schill R and Spang R},
year = {2026},
journal = {Bioinformatics (Oxford, England)},
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 - Hu YL AU - Pfahler S AU - Lösch A AU - Vocht S AU - Hansch S AU - Rupp K AU - Beerenwinkel N AU - Wettig T AU - Schill R AU - Spang R PY - 2026 JO - Bioinformatics (Oxford, England) DO - 10.1093/bioinformatics/btag526 UR - https://doi.org/10.1093/bioinformatics/btag526 ER -
APA
YL, H., S, P., A, L., S, V., S, H., K, R., N, B., T, W., R, S., & R, S. (2026). Quantifying uncertainty of predictions from cancer progression models.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag526
Source records
- pubmed · retrieved 2026-09-25T04:31:29.606Z