Arora, M., Zambrzycki, S. C., Levy, J. M., Esper, A., Frediani, J. K., Quave, C. L., . . . Kamaleswaran, R. (2022). Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS. Metabolites, 12(3), 232. https://doi.org/10.3390/metabo12030232
Citace podle Chicago (17th ed.)Arora, Mehak, Stephen C. Zambrzycki, Joshua M. Levy, Annette Esper, Jennifer K. Frediani, Cassandra L. Quave, Facundo M. Fernández, a Rishikesan Kamaleswaran. "Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS." Metabolites 12, no. 3 (2022): 232. https://doi.org/10.3390/metabo12030232.
Citace podle MLA (9th ed.)Arora, Mehak, et al. "Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS." Metabolites, vol. 12, no. 3, 2022, p. 232, https://doi.org/10.3390/metabo12030232.