A Linear Prediction Rule Based on Ensemble Classifiers for Non-Genotoxic Carcinogenicity

Statistics in Biopharmaceutical Research

Volumn 4, Issue 2, 2012, Pages 185-193

  Raghavan, Nandini ^a   Nie, Alex Y ^b   McMillian, Michael ^c   Amaratunga, Dhammika ^c  

^a JOHNSON AND JOHNSON PHARMACEUTICAL RESEARCH AND DEVELOPMENT   (United States)

^b Foley and Larder LLP   (United States)

^c JOHNSON AND JOHNSON   (United States)

Author keywords

Classification; Gene signature; Linear discriminant analysis (LDA); Microarray; Toxicogenomics

Indexed keywords

ANILINE; ATENOLOL; CARBAMAZEPINE; CHLORPROMAZINE; CYPROTERONE ACETATE; DANTROLENE; DAPSONE; DIELDRIN; FELBAMATE; FUROSEMIDE; GABAPENTIN; ISONIAZID; LANSOPRAZOLE; METHAPYRILENE; PHENOBARBITAL; PIPERONYL BUTOXIDE; RALOXIFENE; RIFAMPICIN; SIMVASTATIN; SULFAMETHOXAZOLE; TOLUENE DERIVATIVE; VALPROIC ACID;

ALGORITHM; ARTICLE; BOOTSTRAPPING; CARCINOGENICITY; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA BASE; ERROR; GENE EXPRESSION; LD 50; LINEAR PREDICTION RULE; MICROARRAY ANALYSIS; NONHUMAN; PREDICTION; RAT; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

EID: 84865059742     PISSN: None     EISSN: 19466315     Source Type: Journal    
DOI: 10.1198/sbr.2011.10049     Document Type: Article

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