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...
| Main Authors: | , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2020
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| Online Access: | https://hdl.handle.net/1721.1/126059 |