Cancer classification based on chromatin accessibility profiles with deep adversarial learning model

Given the complexity and diversity of the cancer genomics profiles, it is challenging to identify distinct clusters from different cancer types. Numerous analyses have been conducted for this propose. Still, the methods they used always do not directly support the high-dimensional omics data across...

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Detalles Bibliográficos
Autores principales: Yang, Hai, Wei, Qiang, Li, Dongdong, Wang, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676699/
https://www.ncbi.nlm.nih.gov/pubmed/33166290
http://dx.doi.org/10.1371/journal.pcbi.1008405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676699/
https://www.ncbi.nlm.nih.gov/pubmed/33166290
http://dx.doi.org/10.1371/journal.pcbi.1008405

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