Feature Selection and Machine Learning Strategies to Develop a Minimal Bioassay for Cholangiocarcinoma Subtype
- DOI
- 10.1016/j.mayocp.2026.06.029
- Published
- 2026-11
- Container
- Mayo Clinic Proceedings
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.mayocp.2026.06.029,
title = {Feature Selection and Machine Learning Strategies to Develop a Minimal Bioassay for Cholangiocarcinoma Subtype},
author = {Ellen L. Larson and Erik Jessen and Dong-Gi Mun and Jennifer L. Tomlinson and Amro M. Abdelrahman and Danielle M. Carlson and Hojjat Salehinejad and Rory L. Smoot},
year = {2026},
journal = {Mayo Clinic Proceedings},
doi = {10.1016/j.mayocp.2026.06.029},
url = {https://doi.org/10.1016/j.mayocp.2026.06.029}
}RIS
TY - JOUR TI - Feature Selection and Machine Learning Strategies to Develop a Minimal Bioassay for Cholangiocarcinoma Subtype AU - Ellen L. Larson AU - Erik Jessen AU - Dong-Gi Mun AU - Jennifer L. Tomlinson AU - Amro M. Abdelrahman AU - Danielle M. Carlson AU - Hojjat Salehinejad AU - Rory L. Smoot PY - 2026 JO - Mayo Clinic Proceedings DO - 10.1016/j.mayocp.2026.06.029 UR - https://doi.org/10.1016/j.mayocp.2026.06.029 ER -
APA
Larson, E. L., Jessen, E., Mun, D., Tomlinson, J. L., Abdelrahman, A. M., Carlson, D. M., Salehinejad, H., & Smoot, R. L. (2026). Feature Selection and Machine Learning Strategies to Develop a Minimal Bioassay for Cholangiocarcinoma Subtype. Mayo Clinic Proceedings. https://doi.org/10.1016/j.mayocp.2026.06.029
Source records
- crossref · retrieved 2026-11-07T08:30:27.476Z