Reproducibility of natural-language-driven statistical workflows compared with conventional software for diagnostic metrics in prostate cancer research.
- DOI
- 10.4111/icu.20250642
- Published
- 2026 Jul
- Container
- Investigative and clinical urology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.4111/icu.20250642,
title = {Reproducibility of natural-language-driven statistical workflows compared with conventional software for diagnostic metrics in prostate cancer research.},
author = {Lagos-Beitz HE and Trujillo-Martínez G and González-Quirós CA and Escalante-Armenta R and Martínez-Delgado G and Castillejos-Molina RA and Tena Gonzalez-Mendez G},
year = {2026},
journal = {Investigative and clinical urology},
doi = {10.4111/icu.20250642},
url = {https://doi.org/10.4111/icu.20250642}
}RIS
TY - JOUR TI - Reproducibility of natural-language-driven statistical workflows compared with conventional software for diagnostic metrics in prostate cancer research. AU - Lagos-Beitz HE AU - Trujillo-Martínez G AU - González-Quirós CA AU - Escalante-Armenta R AU - Martínez-Delgado G AU - Castillejos-Molina RA AU - Tena Gonzalez-Mendez G PY - 2026 JO - Investigative and clinical urology DO - 10.4111/icu.20250642 UR - https://doi.org/10.4111/icu.20250642 ER -
APA
HE, L., G, T., CA, G., R, E., G, M., RA, C., & G, T. G. (2026). Reproducibility of natural-language-driven statistical workflows compared with conventional software for diagnostic metrics in prostate cancer research.. Investigative and clinical urology. https://doi.org/10.4111/icu.20250642
Source records
- pubmed · retrieved 2026-11-10T10:16:09.397Z