Mutation-Attention (MuAt): deep representation learning of somatic mutations for tumour typing and subtyping

BACKGROUND: Cancer genome sequencing enables accurate classification of tumours and tumour subtypes. However, prediction performance is still limited using exome-only sequencing and for tumour types with low somatic mutation burden such as many paediatric tumours. Moreover, the ability to leverage d...

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Detalles Bibliográficos
Autores principales: Sanjaya, Prima, Maljanen, Katri, Katainen, Riku, Waszak, Sebastian M., Aaltonen, Lauri A., Stegle, Oliver, Korbel, Jan O., Pitkänen, Esa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326961/
https://www.ncbi.nlm.nih.gov/pubmed/37420249
http://dx.doi.org/10.1186/s13073-023-01204-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326961/
https://www.ncbi.nlm.nih.gov/pubmed/37420249
http://dx.doi.org/10.1186/s13073-023-01204-4

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