Filtering maxRatio results with machine learning models increases quantitative PCR accuracy over the fit point method
Luigi Marongiu1, Eric Shain2, Kevin Shain3
1Department of Experimental Surgery - Cancer Metastasis, Medical Faculty Mannheim, Centre for Biomedicine and Medical Technology Mannheim (CBTM), Ludolf-Krehl-Str. 6, 68135 Mannheim, Ruprecht-Karls University of Heidelberg, Germany.
Abstract:
With qPCR reaching thousands of reactions per run, assay validation needs automation. We applied support vector machine to qPCR analysis and we could identify reactions with 100% accuracy, dispensing them from further validation. We achieved a greatly reduced workload that could improve high-throughput qPCR analysis.
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