Optimizing Polymerase Chain Reaction (PCR) using Machine Learning
Nicholas J. Cordaro, Andrew J. Kavran, Michael J. Smallegan, Megan Palacio, Nickolaus C. Lammer, Tyler S. Brant, Vanessa DuMont, Naiara Doherty Garcia, Suzannah G. Miller, Tara Jourabchi, Sara L. Sawyer, Aaron J. Clauset
This study uses machine learning to improve PCR success rates, achieving 81% prediction accuracy and identifying 15 under-optimized features.
bioRxiv · Aug 12, 2021 · PreprintBioinformatics