Villarreal-González, R.; Acosta-Hoyos, A.J.; Garzon-Ochoa, J.A.; Galán-Freyle, N.J.; Amar-Sepúlveda, P.; Pacheco-Londoño, L.C.
Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data. Molecules 2021, 26, 20.
https://doi.org/10.3390/molecules26010020
AMA Style
Villarreal-González R, Acosta-Hoyos AJ, Garzon-Ochoa JA, Galán-Freyle NJ, Amar-Sepúlveda P, Pacheco-Londoño LC.
Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data. Molecules. 2021; 26(1):20.
https://doi.org/10.3390/molecules26010020
Chicago/Turabian Style
Villarreal-González, Reynaldo, Antonio J. Acosta-Hoyos, Jaime A. Garzon-Ochoa, Nataly J. Galán-Freyle, Paola Amar-Sepúlveda, and Leonardo C. Pacheco-Londoño.
2021. "Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data" Molecules 26, no. 1: 20.
https://doi.org/10.3390/molecules26010020
APA Style
Villarreal-González, R., Acosta-Hoyos, A. J., Garzon-Ochoa, J. A., Galán-Freyle, N. J., Amar-Sepúlveda, P., & Pacheco-Londoño, L. C.
(2021). Anomaly Identification during Polymerase Chain Reaction for Detecting SARS-CoV-2 Using Artificial Intelligence Trained from Simulated Data. Molecules, 26(1), 20.
https://doi.org/10.3390/molecules26010020