Dong, Ming, Kshirsagar, Aneesh, Politza, Anthony J., and Guan, Weihua. High Fidelity Machine-Learning-Assisted False Positive Discrimination in Loop-Mediated Isothermal Amplification Using Nanopore-Based Sizing and Counting. Retrieved from https://par.nsf.gov/biblio/10498492. ACS Nano 18.9 Web. doi:10.1021/acsnano.3c12053.

Dong, Ming, Kshirsagar, Aneesh, Politza, Anthony J., & Guan, Weihua. High Fidelity Machine-Learning-Assisted False Positive Discrimination in Loop-Mediated Isothermal Amplification Using Nanopore-Based Sizing and Counting. ACS Nano, 18 (9). Retrieved from https://par.nsf.gov/biblio/10498492. https://doi.org/10.1021/acsnano.3c12053

Dong, Ming, Kshirsagar, Aneesh, Politza, Anthony J., and Guan, Weihua. "High Fidelity Machine-Learning-Assisted False Positive Discrimination in Loop-Mediated Isothermal Amplification Using Nanopore-Based Sizing and Counting". ACS Nano 18 (9). Country unknown/Code not available: ACS. https://doi.org/10.1021/acsnano.3c12053. https://par.nsf.gov/biblio/10498492.

@article{osti_10498492,
place = {Country unknown/Code not available}, title = {High Fidelity Machine-Learning-Assisted False Positive Discrimination in Loop-Mediated Isothermal Amplification Using Nanopore-Based Sizing and Counting}, url = {https://par.nsf.gov/biblio/10498492}, DOI = {10.1021/acsnano.3c12053}, abstractNote = {}, journal = {ACS Nano}, volume = {18}, number = {9}, publisher = {ACS}, author = {Dong, Ming and Kshirsagar, Aneesh and Politza, Anthony J. and Guan, Weihua}, }