Genomic biomarkers for a binary clinical outcome in early drug development microarray experiments.
J Biopharm Stat
; 22(1): 72-92, 2012.
Article
em En
| MEDLINE
| ID: mdl-22204528
ABSTRACT
In this article, we discuss methods to select three different types of genes (treatment related, response related, or both) and investigate whether they can serve as biomarkers for a binary outcome variable. We consider an extension of the joint model introduced by Lin et al. (2010) and Tilahun et al. (2010) for a continuous response. As the model has certain drawbacks in a binary setting, we also present a way to use classical selection methods to identify subgroups of genes, which are treatment and/or response related. We evaluate their potential to serve as biomarkers by applying DLDA to predict the response level.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Marcadores Genéticos
/
Análise de Sequência com Séries de Oligonucleotídeos
/
Genômica
/
Descoberta de Drogas
Tipo de estudo:
Prognostic_studies
Limite:
Animals
/
Humans
Idioma:
En
Ano de publicação:
2012
Tipo de documento:
Article