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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| 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 |