Primary tumor type prediction based on US nationwide genomic profiling data in 13,522 patients

Timely and accurate primary tumor diagnosis is critical, and misdiagnoses and delays may cause undue health and economic burden. To predict primary tumor types based on genomics data from a de-identified US nationwide clinico-genomic database (CGDB), the XGBoost-based Clinico-Genomic Machine Learnin...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Yunru, Pfeiffer, Shannon M., Zhang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432138/
https://www.ncbi.nlm.nih.gov/pubmed/37593720
http://dx.doi.org/10.1016/j.csbj.2023.07.036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432138/
https://www.ncbi.nlm.nih.gov/pubmed/37593720
http://dx.doi.org/10.1016/j.csbj.2023.07.036

Ejemplares similares