Principal component analysis for exploring gene expression patterns / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 736-741, 2007.
Artículo
en Chino
| WPRIM
| ID: wpr-346081
ABSTRACT
When projecting microarray data of yeast time series into principal component space based on time-points (arrays), we can not only ascribe biologically meaningful explanations to the first few principal components, but also discover sensible gene expression patterns and the according genes with periodic fluctuation this helps the subsequent research of gene periodic expression and gene regulatory network.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Levaduras
/
Algoritmos
/
Regulación de la Expresión Génica
/
Análisis de Secuencia por Matrices de Oligonucleótidos
/
Perfilación de la Expresión Génica
/
Análisis de Componente Principal
/
Genética
/
Métodos
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2007
Tipo del documento:
Artículo
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