Clustering analysis of SAGE data using a Poisson approach.
Genome Biol
; 5(7): R51, 2004.
Article
em En
| MEDLINE
| ID: mdl-15239836
ABSTRACT
Serial analysis of gene expression (SAGE) data have been poorly exploited by clustering analysis owing to the lack of appropriate statistical methods that consider their specific properties. We modeled SAGE data by Poisson statistics and developed two Poisson-based distances. Their application to simulated and experimental mouse retina data show that the Poisson-based distances are more appropriate and reliable for analyzing SAGE data compared to other commonly used distances or similarity measures such as Pearson correlation or Euclidean distance.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Perfilação da Expressão Gênica
Tipo de estudo:
Diagnostic_studies
/
Risk_factors_studies
Limite:
Animals
Idioma:
En
Revista:
Genome Biol
Assunto da revista:
BIOLOGIA MOLECULAR
/
GENETICA
Ano de publicação:
2004
Tipo de documento:
Article
País de afiliação:
Estados Unidos