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A machine learning approach to optimizing cell-free DNA sequencing panels: with an application to prostate cancer
BACKGROUND: 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 guided panel design strategy for improving the detection of tumor variants in...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456018/ https://www.ncbi.nlm.nih.gov/pubmed/32859160 http://dx.doi.org/10.1186/s12885-020-07318-x |