Multi-SNP pharmacogenomic classifier is superior to single-SNP models for predicting drug outcome in complex diseases

Pharmacogenetics and Genomics

Volumn 19, Issue 2, 2009, Pages 147-152

  Petrovski, Slavé ^a   Szoeke, Cassandra E ^a   Sheffield, Leslie J ^b   D'Souza, Wendyl ^c,d   Huggins, Richard M ^a   O'Brien, Terence J ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b MURDOCH CHILDREN'S RESEARCH INSTITUTE   (Australia)

^c ST VINCENT S HOSPITAL   (Australia)

^d UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Cross validation; k Nearest neighbour; Multi SNP classifier; Pharmacogenomics; Supervised learning

Indexed keywords

ACCURACY; ARTICLE; CLASSIFIER; EPILEPSY; GENOTYPE; HUMAN; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; MAJOR CLINICAL STUDY; PHARMACOGENOMICS; PREDICTION; PRIORITY JOURNAL; RELIABILITY; SENSITIVITY ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; TREATMENT OUTCOME;

ALGORITHMS; ANTICONVULSANTS; COHORT STUDIES; EPILEPSY; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; MODELS, STATISTICAL; PHARMACOGENETICS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 59549106908     PISSN: 17446872     EISSN: 17446880     Source Type: Journal    
DOI: 10.1097/FPC.0b013e32831d1dfa     Document Type: Article

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