Development of methods to ascertain the predictivity and consistency of SAR models: Application to the U.S. National toxicology program rodent carcinogenicity bioassays

Quantitative Structure-Activity Relationships

Volumn 16, Issue 4, 1997, Pages 290-295

  Zhang, Ying Ping ^a   Sussman, Nancy ^a   Klopman, Gilles ^b   Rosenkranz, Herbert S ^a,c  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

^c UNIVERSITY OF PITTSBURGH CANCER INSTITUTE   (United States)

Author keywords

Bayes' theorem; Carcinogenicity; CASE; Cross validation; MultiCASE; Predictivity; QSAR; SAR

Indexed keywords

APPLICATION PROGRAMS; BIOASSAY; COMPUTATIONAL CHEMISTRY; INDICATORS (CHEMICAL); SOFTWARE TESTING; STATISTICAL TESTS;

BAYE'S THEOREM; CARCINOGENICITY; CROSS VALIDATION; LEAVE ONE OUT; MODEL APPLICATION; MULTICASE; NATIONAL TOXICOLOGY PROGRAMS; PREDICTIVITY; QSAR; SUBMODELS;

FORECASTING;

BENZOFURAN DERIVATIVE; BROMOFORM; CARCINOGEN; DIELDRIN; PHTHALIC ANHYDRIDE;

ARTICLE; BIOASSAY; CARCINOGENICITY; CHEMICAL STRUCTURE; DATA BASE; DRUG ACTIVITY; DRUG SCREENING; DRUG STRUCTURE; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; TOXICOLOGY; VALIDATION PROCESS;

EID: 0030796467     PISSN: 09318771     EISSN: None     Source Type: Journal    
DOI: 10.1002/qsar.19970160403     Document Type: Article

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