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Using machine learning to optimize assays for single-cell targeted DNA sequencing

Nianzhen Li

High-throughput single-cell DNA sequencing allows for the detection of rare mutations in cells and identification of sub-clones defined by co-occurrence of mutations. The big challenge with multiplex sequencing at the single-cell level is the non-uniform amplification that results in inadequate coverage of mutations of interest.

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Using machine learning to optimize assays for single-cell targeted DNA sequencing

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