APA (7th ed.) Citation

Hernández Suárez, M., Astray Dopazo, G., Larios López, D., & Espinosa, F. (2015). Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs). PLOS ONE, 10(6), e0128566. https://doi.org/10.1371/journal.pone.0128566

Chicago Style (17th ed.) Citation

Hernández Suárez, Marcos, Gonzalo Astray Dopazo, Dina Larios López, and Francisco Espinosa. "Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)." PLOS ONE 10, no. 6 (2015): e0128566. https://doi.org/10.1371/journal.pone.0128566.

MLA (9th ed.) Citation

Hernández Suárez, Marcos, et al. "Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)." PLOS ONE, vol. 10, no. 6, 2015, p. e0128566, https://doi.org/10.1371/journal.pone.0128566.