NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer
Author:
Funder
Norges Forskningsråd
Publisher
Springer Science and Business Media LLC
Subject
Genetics(clinical),Genetics
Link
http://link.springer.com/content/pdf/10.1186/s12920-019-0508-5.pdf
Reference46 articles.
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2. Dancey JE, et al. The genetic basis for cancer treatment decisions. Cell. 2012;148(3):409–20.
3. Alioto TS, et al. A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing. Nat Commun. 2015;6:p. 10001.
4. Xu H, et al. Comparison of somatic mutation calling methods in amplicon and whole exome sequence data. BMC Genomics. 2014;15:244.
5. Kroigard AB, et al. Evaluation of nine somatic variant callers for detection of somatic mutations in exome and targeted deep sequencing data. PLoS One. 2016;11(3):p. e0151664.
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