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A Machine-Learning Framework for Accurate Classification and Quantification of Oncogenic Variants Using the QuantideX NGS DNA Hotspot 21 Kit
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"A Machine-Learning Framework for Accurate Classification and Quantification of Oncogenic Variants Using the QuantideX NGS DNA Hotspot 21 Kit"

The accurate and sensitive detection of somatic variants from non-reference background in tumorigenic tissue remains a challenge for laboratories engaged in molecular biomarker testing

To overcome these challenges, Asuragen developed a proprietary, machine-learning framework for its QuantideX NGS DNA Hotspot 21 Kit to correctly identify true variants as informed by the analysis of hundreds of samples and the querying of variant databases. To learn more about this assay and its robust and streamlined bioinformatics pipeline, view the scientific poster.


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