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An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer types
Cancer cells harbor molecular alterations at all levels of information processing. Genomic/epigenomic and transcriptomic alterations are inter-related between genes, within and across cancer types and may affect clinical phenotypes. Despite the abundant prior studies of integrating cancer multi-omic...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931374/ https://www.ncbi.nlm.nih.gov/pubmed/36812605 http://dx.doi.org/10.1371/journal.pdig.0000151 |