Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers

Cancer is a disease of gene dysregulation, where cells acquire somatic and epigenetic alterations that drive aberrant cellular signaling. These alterations adversely impact transcriptional programs and cause profound changes in gene expression. Interpreting somatic alterations within context-specifi...

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Detalles Bibliográficos
Autores principales: Tao, Yifeng, Ma, Xiaojun, Palmer, Drake, Schwartz, Russell, Lu, Xinghua, Osmanbeyoglu, Hatice Ulku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638905/
https://www.ncbi.nlm.nih.gov/pubmed/36243974
http://dx.doi.org/10.1093/nar/gkac881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638905/
https://www.ncbi.nlm.nih.gov/pubmed/36243974
http://dx.doi.org/10.1093/nar/gkac881

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