An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data

Detection of differentially expressed genes from expressed sequence tags (ESTs) data has received much attention. An empirical Bayesian method is introduced in which gene expression patterns are estimated and used to define detection statistics. Significantly differentially expressed genes can be de...

Descripción completa

Detalles Bibliográficos
Autores principales: You, Na, Liu, Junmei, Mao, Chang Xuan
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2277491/
https://www.ncbi.nlm.nih.gov/pubmed/18389067
http://dx.doi.org/10.1155/2008/817210
Descripción
Sumario:Detection of differentially expressed genes from expressed sequence tags (ESTs) data has received much attention. An empirical Bayesian method is introduced in which gene expression patterns are estimated and used to define detection statistics. Significantly differentially expressed genes can be declared given detection statistics. Simulation is done to evaluate the performance of proposed method. Two real applications are studied.

Ejemplares similares