Analysis of super-enhancer using machine learning and its application to medical biology

The analysis of super-enhancers (SEs) has recently attracted attention in elucidating the molecular mechanisms of cancer and other diseases. SEs are genomic structures that strongly induce gene expression and have been reported to contribute to the overexpression of oncogenes. Because the analysis o...

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Detalles Bibliográficos
Autores principales: Hamamoto, Ryuji, Takasawa, Ken, Shinkai, Norio, Machino, Hidenori, Kouno, Nobuji, Asada, Ken, Komatsu, Masaaki, Kaneko, Syuzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199775/
https://www.ncbi.nlm.nih.gov/pubmed/36960780
http://dx.doi.org/10.1093/bib/bbad107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199775/
https://www.ncbi.nlm.nih.gov/pubmed/36960780
http://dx.doi.org/10.1093/bib/bbad107

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