Multi-SNP pharmacogenomic classifier is superior to single-SNP models for predicting drug outcome in complex diseases.
about
BioGrid Australia facilitates collaborative medical and bioinformatics research across hospitals and medical research institutes by linking data from diverse disease and data types.An empirical assessment of validation practices for molecular classifiersRisk modeling strategies for pharmacogenetic studies.Pharmacogenomics and epilepsy: the road ahead.Mechanisms of cellular fibrosis associated with cancer regimen-related toxicities.A candidate gene study of antiepileptic drug tolerability and efficacy identifies an association of CYP2C9 variants with phenytoin toxicity.
P2860
Multi-SNP pharmacogenomic classifier is superior to single-SNP models for predicting drug outcome in complex diseases.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@en
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@nl
type
label
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@en
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@nl
prefLabel
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@en
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@nl
P50
P1476
Multi-SNP pharmacogenomic clas ...... g outcome in complex diseases.
@en
P2093
Leslie J Sheffield
Richard M Huggins
P304
P356
10.1097/FPC.0B013E32831D1DFA
P577
2009-02-01T00:00:00Z