Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival

Cancer develops by accumulation of somatic driver mutations, which impact cellular function. Mutations in non-coding regulatory regions can now be studied genome-wide and further characterized by correlation with gene expression and clinical outcome to identify driver candidates. Using a new two-sta...

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Bibliographic Details
Main Authors: Hornshøj, Henrik, Nielsen, Morten Muhlig, Sinnott-Armstrong, Nicholas A., Świtnicki, Michał P., Juul, Malene, Madsen, Tobias, Sallari, Richard, Kellis, Manolis, Ørntoft, Torben, Hobolth, Asger, Pedersen, Jakob Skou
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2020
Online Access:https://hdl.handle.net/1721.1/126059

Internet

https://hdl.handle.net/1721.1/126059

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