A pan-cancer somatic mutation embedding using autoencoders

BACKGROUND: Next generation sequencing instruments are providing new opportunities for comprehensive analyses of cancer genomes. The increasing availability of tumor data allows to research the complexity of cancer disease with machine learning methods. The large available repositories of high dimen...

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Detalles Bibliográficos
Autores principales: Palazzo, Martin, Beauseroy, Pierre, Yankilevich, Patricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907172/
https://www.ncbi.nlm.nih.gov/pubmed/31829157
http://dx.doi.org/10.1186/s12859-019-3298-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907172/
https://www.ncbi.nlm.nih.gov/pubmed/31829157
http://dx.doi.org/10.1186/s12859-019-3298-z

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