Cargando…
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...
Autores principales: | You, Na, Liu, Junmei, Mao, Chang Xuan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2008
|
Materias: | |
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 |
Ejemplares similares
-
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
por: Hardcastle, Thomas J, et al.
Publicado: (2010) -
A Bayesian nonparametric method for prediction in EST analysis
por: Lijoi, Antonio, et al.
Publicado: (2007) -
NPEBseq: nonparametric empirical bayesian-based procedure for differential expression analysis of RNA-seq data
por: Bi, Yingtao, et al.
Publicado: (2013) -
Empirical Bayesian selection of hypothesis testing procedures for analysis of digital gene expression data
por: Pounds, Stan, et al.
Publicado: (2013) -
An improved empirical bayes approach to estimating differential gene expression in microarray time-course data: BETR (Bayesian Estimation of Temporal Regulation)
por: Aryee, Martin J, et al.
Publicado: (2009)