Non-coding cancer driver candidates identified with a sample- and position-specific model of the somatic mutation rate
Non-coding mutations may drive cancer development. Statistical detection of non-coding driver regions is challenged by a varying mutation rate and uncertainty of functional impact. Here, we develop a statistically founded non-coding driver-detection method, ncdDetect, which includes sample-specific...
Main Authors: | Malene Juul, Johanna Bertl, Qianyun Guo, Morten Muhlig Nielsen, Michał Świtnicki, Henrik Hornshøj, Tobias Madsen, Asger Hobolth, Jakob Skou Pedersen |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2017-03-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/21778 |
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