A software package for simple and rigorous survival machine learning analysis in biomedical research.
- DOI
- 10.64898/2026.08.05.26359034
- Published
- 2026 Aug 10
- Container
- medRxiv : the preprint server for health sciences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.64898/2026.08.05.26359034,
title = {A software package for simple and rigorous survival machine learning analysis in biomedical research.},
author = {Pybus AF and Qiu J and Morais Lyra PC and Dang K and Narvaez-Bandera I and Jolaogun T and Goecks J},
year = {2026},
journal = {medRxiv : the preprint server for health sciences},
doi = {10.64898/2026.08.05.26359034},
url = {https://doi.org/10.64898/2026.08.05.26359034}
}RIS
TY - JOUR TI - A software package for simple and rigorous survival machine learning analysis in biomedical research. AU - Pybus AF AU - Qiu J AU - Morais Lyra PC AU - Dang K AU - Narvaez-Bandera I AU - Jolaogun T AU - Goecks J PY - 2026 JO - medRxiv : the preprint server for health sciences DO - 10.64898/2026.08.05.26359034 UR - https://doi.org/10.64898/2026.08.05.26359034 ER -
APA
AF, P., J, Q., PC, M. L., K, D., I, N., T, J., & J, G. (2026). A software package for simple and rigorous survival machine learning analysis in biomedical research.. medRxiv : the preprint server for health sciences. https://doi.org/10.64898/2026.08.05.26359034
Source records
- pubmed · retrieved 2026-11-10T11:48:25.968Z
- europe-pmc · retrieved 2026-11-10T11:48:25.977Z