Modeling the Pretest Probability of Identifying Druggable Mutations in Lung Cancer Using Nationwide Comprehensive Genomic Profiling Data.
- DOI
- 10.1200/cci-25-00269
- Published
- 2026 Mar
- Container
- JCO clinical cancer informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1200/cci-25-00269,
title = {Modeling the Pretest Probability of Identifying Druggable Mutations in Lung Cancer Using Nationwide Comprehensive Genomic Profiling Data.},
author = {Ikushima H and Watanabe K and Shinozaki-Ushiku A and Kodera S and Takeda N and Oda K and Kage H},
year = {2026},
journal = {JCO clinical cancer informatics},
doi = {10.1200/cci-25-00269},
url = {https://doi.org/10.1200/cci-25-00269}
}RIS
TY - JOUR TI - Modeling the Pretest Probability of Identifying Druggable Mutations in Lung Cancer Using Nationwide Comprehensive Genomic Profiling Data. AU - Ikushima H AU - Watanabe K AU - Shinozaki-Ushiku A AU - Kodera S AU - Takeda N AU - Oda K AU - Kage H PY - 2026 JO - JCO clinical cancer informatics DO - 10.1200/cci-25-00269 UR - https://doi.org/10.1200/cci-25-00269 ER -
APA
H, I., K, W., A, S., S, K., N, T., K, O., & H, K. (2026). Modeling the Pretest Probability of Identifying Druggable Mutations in Lung Cancer Using Nationwide Comprehensive Genomic Profiling Data.. JCO clinical cancer informatics. https://doi.org/10.1200/cci-25-00269
Source records
- pubmed · retrieved 2026-09-25T22:45:42.393Z