A Bayesian approach to in Silico blood-brain barrier penetration modeling

Journal of Chemical Information and Modeling

Volumn 52, Issue 6, 2012, Pages 1686-1697

  Martins, Ines Filipa ^a   Teixeira, Ana L ^a   Pinheiro, Luis ^a   Falcao, Andre O ^a  

^a UNIVERSITY OF LISBON   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION PROGRAMS; BAYESIAN NETWORKS; BLOOD; DECISION TREES; DRUG PRODUCTS; MOLECULES; SUPPORT VECTOR MACHINES;

BAYESIAN APPROACHES; BAYESIAN STATISTICS; BLOOD-BRAIN BARRIER; CENTRAL NERVOUS SYSTEMS; CROSS VALIDATION; DEVELOPMENT PROGRAMS; OVERALL ACCURACIES; STATE-OF-THE-ART MACHINE LEARNING METHODS;

LEARNING SYSTEMS;

ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BLOOD BRAIN BARRIER; HUMAN; PROBABILITY; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; THEORETICAL MODEL; VALIDATION STUDY;

ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BLOOD-BRAIN BARRIER; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, THEORETICAL; PROBABILITY; SUPPORT VECTOR MACHINES;

EID: 84862890235     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci300124c     Document Type: Article

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