Journal article
Journal of Chemical Information and Modeling, vol. 62, 2022, pp. 5317-5320
APA
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Soares, T. A., Nunes-Alves, A., Mazzolari, A., Ruggiu, F., Wei, G.-W., & Merz, K. (2022). The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods. Journal of Chemical Information and Modeling, 62, 5317–5320.
Chicago/Turabian
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Soares, Thereza A., Ariane Nunes-Alves, Angelica Mazzolari, Fiorella Ruggiu, Guo-Wei Wei, and Kenneth Merz. “The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods.” Journal of Chemical Information and Modeling 62 (2022): 5317–5320.
MLA
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Soares, Thereza A., et al. “The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods.” Journal of Chemical Information and Modeling, vol. 62, 2022, pp. 5317–20.
BibTeX Click to copy
@article{soares2022a,
title = {The (Re)-Evolution of Quantitative Structure–Activity Relationship (QSAR) Studies Propelled by the Surge of Machine Learning Methods},
year = {2022},
journal = {Journal of Chemical Information and Modeling},
pages = {5317-5320},
volume = {62},
author = {Soares, Thereza A. and Nunes-Alves, Ariane and Mazzolari, Angelica and Ruggiu, Fiorella and Wei, Guo-Wei and Merz, Kenneth}
}