Bayesian risk prediction model for colorectal cancer mortality through integration of clinicopathologic and genomic data

Routine tumor-node-metastasis (TNM) staging of colorectal cancer is imperfect in predicting survival due to tumor pathobiological heterogeneity and imprecise assessment of tumor spread. We leveraged Bayesian additive regression trees (BART), a statistical learning technique, to comprehensively analy...

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Detalles Bibliográficos
Autores principales: Zhao, Melissa, Lau, Mai Chan, Haruki, Koichiro, Väyrynen, Juha P., Gurjao, Carino, Väyrynen, Sara A., Dias Costa, Andressa, Borowsky, Jennifer, Fujiyoshi, Kenji, Arima, Kota, Hamada, Tsuyoshi, Lennerz, Jochen K., Fuchs, Charles S., Nishihara, Reiko, Chan, Andrew T., Ng, Kimmie, Zhang, Xuehong, Meyerhardt, Jeffrey A., Song, Mingyang, Wang, Molin, Giannakis, Marios, Nowak, Jonathan A., Yu, Kun-Hsing, Ugai, Tomotaka, Ogino, Shuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257677/
https://www.ncbi.nlm.nih.gov/pubmed/37301916
http://dx.doi.org/10.1038/s41698-023-00406-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257677/
https://www.ncbi.nlm.nih.gov/pubmed/37301916
http://dx.doi.org/10.1038/s41698-023-00406-8

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