An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer types.

An integrated analysis of the cancer genome atlas data discovers a hierarchical association structure across thirty three cancer types.

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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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Bibliographic Details
Main Authors: Khong-Loon Tiong, Nardnisa Sintupisut, Min-Chin Lin, Chih-Hung Cheng, Andrew Woolston, Chih-Hsu Lin, Mirrian Ho, Yu-Wei Lin, Sridevi Padakanti, Chen-Hsiang Yeang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-12-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000151

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https://doi.org/10.1371/journal.pdig.0000151

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