Adaptive Filtering Framework to Remove Nonspecific and Low-Efficiency Reactions in Multiplex Digital PCR Based on Sigmoidal Trends
Luca Miglietta, Ke Xu, Priya Chhaya, Louis Kreitmann, Kerri Hill-Cawthorne, Frances Bolt, Alison Holmes, Pantelis Georgiou, Jesús Rodríguez-Manzano
Abstract
-value < 0.0001), removing 53.5% of all wrong melting curves based only on the amplification shape. This work explores the correlation between the kinetics of amplification curves and the thermodynamics of melting curves, and it demonstrates that filtering out nonspecific or low-efficient reactions can significantly improve the classification accuracy for cutting-edge multiplexing methodologies.
Topics & Concepts
OutlierSigmoid functionDigital polymerase chain reactionMultiplexChemistryMultiplexingFilter (signal processing)Biological systemMelting curve analysisComputational biologyAlgorithmPolymerase chain reactionComputer scienceArtificial intelligenceBioinformaticsBiologyGeneBiochemistryArtificial neural networkComputer visionTelecommunicationsBiosensors and Analytical DetectionMolecular Biology Techniques and ApplicationsBacterial Identification and Susceptibility Testing