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Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

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Title: Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.
Authors: Perryman AL; Division of Infectious Disease, Department of Medicine, and the Ruy V. Lourenço Center for the Study of Emerging and Re-emerging Pathogens, Rutgers University-New Jersey Medical School, Newark, New Jersey, 07103, USA., Stratton TP; Department of Pharmacology & Physiology, Rutgers University-New Jersey Medical School, Medical Sciences Building, I-503, 185 South Orange Ave., Newark, New Jersey, 07103, USA., Ekins S; Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay-Varina, NC, 27526, USA.; Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA, 94010, USA., Freundlich JS; Division of Infectious Disease, Department of Medicine, and the Ruy V. Lourenço Center for the Study of Emerging and Re-emerging Pathogens, Rutgers University-New Jersey Medical School, Newark, New Jersey, 07103, USA. freundjs@rutgers.edu.; Department of Pharmacology & Physiology, Rutgers University-New Jersey Medical School, Medical Sciences Building, I-503, 185 South Orange Ave., Newark, New Jersey, 07103, USA. freundjs@rutgers.edu.
Source: Pharmaceutical research [Pharm Res] 2016 Feb; Vol. 33 (2), pp. 433-49. Date of Electronic Publication: 2015 Sep 28.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 8406521 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-904X (Electronic) Linking ISSN: 07248741 NLM ISO Abbreviation: Pharm Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.1007/s11095-015-1800-5
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