Cancer Type Classification in Liquid Biopsies Based on Sparse Mutational Profiles Enabled through Data Augmentation and Integration

Identifying the cell of origin of cancer is important to guide treatment decisions. Machine learning approaches have been proposed to classify the cell of origin based on somatic mutation profiles from solid biopsies. However, solid biopsies can cause complications and certain tumors are not accessi...

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Detalles Bibliográficos
Autores principales: Danyi, Alexandra, Jager, Myrthe, de Ridder, Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780455/
https://www.ncbi.nlm.nih.gov/pubmed/35054395
http://dx.doi.org/10.3390/life12010001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780455/
https://www.ncbi.nlm.nih.gov/pubmed/35054395
http://dx.doi.org/10.3390/life12010001

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