A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer | BMC Cancer | Full Text

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer | BMC Cancer | Full Text

A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer

Cell-free DNA’s (cfDNA) use as a biomarker in cancer is challenging due to genetic heterogeneity of malignancies and rarity of tumor-derived molecules. Here we describe and demonstrate a novel machine-learning...

Authors:Clinton L. Cario, Emmalyn Chen, Lancelote Leong, Nima C. Emami, Karen Lopez, Imelda Tenggara, Jeffry P. Simko, Terence W. Friedlander, Patricia S. Li, Pamela L. Paris, Peter R. Carroll and John S. Witte

Citation:BMC Cancer 2020 20:820

Content type:Research article

 

Published on: 28 August 2020

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