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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Main Authors: Hornshøj, Henrik (Author), Nielsen, Morten Muhlig (Author), Sinnott-Armstrong, Nicholas A. (Author), Świtnicki, Michał P. (Author), Juul, Malene (Author), Madsen, Tobias (Author), Sallari, Richard (Author), Kellis, Manolis (Author), Ørntoft, Torben (Author), Hobolth, Asger (Author), Pedersen, Jakob Skou (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Springer Science and Business Media LLC, 2020-07-07T14:04:09Z.
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