Article Versions Notes

García-Pérez P, Zhang L, Miras-Moreno B, Lozano-Milo E, Landin M, Lucini L, Gallego PP. The Combination of Untargeted Metabolomics and Machine Learning Predicts the Biosynthesis of Phenolic Compounds in Bryophyllum Medicinal Plants (Genus Kalanchoe). Plants. 2021; 10(11):2430. https://doi.org/10.3390/plants10112430

García-Pérez, Pascual, Leilei Zhang, Begoña Miras-Moreno, Eva Lozano-Milo, Mariana Landin, Luigi Lucini, and Pedro P. Gallego. 2021. "The Combination of Untargeted Metabolomics and Machine Learning Predicts the Biosynthesis of Phenolic Compounds in Bryophyllum Medicinal Plants (Genus Kalanchoe)" Plants 10, no. 11: 2430. https://doi.org/10.3390/plants10112430

García-Pérez, P., Zhang, L., Miras-Moreno, B., Lozano-Milo, E., Landin, M., Lucini, L., & Gallego, P. P. (2021). The Combination of Untargeted Metabolomics and Machine Learning Predicts the Biosynthesis of Phenolic Compounds in Bryophyllum Medicinal Plants (Genus Kalanchoe). Plants, 10(11), 2430. https://doi.org/10.3390/plants10112430