Pruned Machine Learning Models to Predict Aqueous Solubility.

Perryman, Alexander L; Inoyama, Daigo; Patel, Jimmy S; Ekins, Sean; Freundlich, Joel S

Perryman, Alexander L; Inoyama, Daigo; Patel, Jimmy S; Ekins, Sean; Freundlich, Joel S.

Afiliación

Perryman AL; Department of Pharmacology, Physiology, and Neuroscience, Rutgers University-New Jersey Medical School, Newark, New Jersey 07103, United States.
Inoyama D; Department of Pharmacology, Physiology, and Neuroscience, Rutgers University-New Jersey Medical School, Newark, New Jersey 07103, United States.
Patel JS; Department of Pharmacology, Physiology, and Neuroscience, Rutgers University-New Jersey Medical School, Newark, New Jersey 07103, United States.
Ekins S; Collaborations in Chemistry, Inc., 5616 Hilltop Needmore Road, Fuquay-Varina, North Carolina 27526, United States.
Freundlich JS; Department of Pharmacology, Physiology, and Neuroscience, Rutgers University-New Jersey Medical School, Newark, New Jersey 07103, United States.

ACS Omega ; 5(27): 16562-16567, 2020 Jul 14.

Article en En | MEDLINE | ID: mdl-32685821

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ACS Omega Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

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