MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors

Although genome-wide DNA methylomes have demonstrated their clinical value as reliable biomarkers for tumor detection, subtyping, and classification, their direct biological impacts at the individual gene level remain elusive. Here we present MethylationToActivity (M2A), a machine learning framework...

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Detalles Bibliográficos
Autores principales: Williams, Justin, Xu, Beisi, Putnam, Daniel, Thrasher, Andrew, Li, Chunliang, Yang, Jun, Chen, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814737/
https://www.ncbi.nlm.nih.gov/pubmed/33461601
http://dx.doi.org/10.1186/s13059-020-02220-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814737/
https://www.ncbi.nlm.nih.gov/pubmed/33461601
http://dx.doi.org/10.1186/s13059-020-02220-y

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