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...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-12-01
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Series: | PLOS Digital Health |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931374/?tool=EBI |