The application of feature selection to the development of Gaussian process models for percutaneous absorption

Journal of Pharmacy and Pharmacology

Volumn 62, Issue 6, 2010, Pages 738-749

  Lam, Lun Tak ^b   Sun, Yi ^a   Davey, Neil ^a   Adams, Rod ^b   Prapopoulou, Maria ^b   Brown, Marc B ^b   Moss, Gary P ^a  

^a KEELE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

Gaussian process; Machine learning methods; Percutaneous absorption; Quantitative structure permeability relationships

Indexed keywords

ARTICLE; DRUG SOLUBILITY; HYDROGEN BOND; MACHINE LEARNING; MELTING POINT; PARTITION COEFFICIENT; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SKIN ABSORPTION; SKIN PERMEABILITY; STATISTICAL ANALYSIS; BIOLOGICAL MODEL; CHEMISTRY; COMPARATIVE STUDY; COMPUTER PROGRAM; HUMAN; METABOLISM; MOLECULAR WEIGHT; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; STATISTICAL MODEL; TRANSITION TEMPERATURE;

DRUG;

HUMANS; HYDROGEN BONDING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MOLECULAR WEIGHT; NONLINEAR DYNAMICS; NORMAL DISTRIBUTION; PHARMACEUTICAL PREPARATIONS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SKIN ABSORPTION; SOFTWARE; TRANSITION TEMPERATURE;

EID: 77953557596     PISSN: 00223573     EISSN: None     Source Type: Journal    
DOI: 10.1211/jpp.62.06.0010     Document Type: Article

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