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A machine learning approach for somatic mutation discovery

Variability in the accuracy of somatic mutation detection may affect the discovery of alterations and the therapeutic management of cancer patients. To address this issue, we developed a somatic mutation discovery approach based on machine learning that outperformed existing methods in identifying e...

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Bibliografiske detaljer
Udgivet i:Sci Transl Med
Main Authors: Wood, Derrick E., White, James R., Georgiadis, Andrew, Van Emburgh, Beth, Parpart-Li, Sonya, Mitchell, Jason, Anagnostou, Valsamo, Niknafs, Noushin, Karchin, Rachel, Papp, Eniko, McCord, Christine, LoVerso, Peter, Riley, David, Diaz, Luis A., Jones, Siân, Sausen, Mark, Velculescu, Victor E., Angiuoli, Samuel V.
Format: Artigo
Sprog:Inglês
Udgivet: 2018
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6481619/
https://ncbi.nlm.nih.gov/pubmed/30185652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/scitranslmed.aar7939
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