Deep Learning Model for Tumor Type Prediction using Targeted Clinical Genomic Sequencing Data

Tumor type guides clinical treatment decisions in cancer, but histology-based diagnosis remains challenging. Genomic alterations are highly diagnostic of tumor type, and tumor type classifiers trained on genomic features have been explored, but the most accurate methods are not clinically feasible,...

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Detalles Bibliográficos
Autores principales: Darmofal, Madison, Suman, Shalabh, Atwal, Gurnit, Chen, Jie-Fu, Chang, Jason C., Toomey, Michael, Vakiani, Efsevia, Varghese, Anna M, Rema, Anoop Balakrishnan, Syed, Aijazuddin, Schultz, Nikolaus, Berger, Michael, Morris, Quaid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508812/
https://www.ncbi.nlm.nih.gov/pubmed/37732244
http://dx.doi.org/10.1101/2023.09.08.23295131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508812/
https://www.ncbi.nlm.nih.gov/pubmed/37732244
http://dx.doi.org/10.1101/2023.09.08.23295131

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