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...

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Detalles Bibliográficos
Autores principales: Tiong, Khong-Loon, Sintupisut, Nardnisa, Lin, Min-Chin, Cheng, Chih-Hung, Woolston, Andrew, Lin, Chih-Hsu, Ho, Mirrian, Lin, Yu-Wei, Padakanti, Sridevi, Yeang, Chen-Hsiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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