An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data. (20th January 2008)

• Record Type: Journal Article
• Authors: You, Na; Liu, Junmei; Mao, Chang Xuan
• Other Names: Cui Xinping Academic Editor.
• Is Part Of: International journal of plant genomics. Volume 2008(2008)
• Publication Date: 2008-01-20
• Subjects: Plant genetics -- Periodicals; Plant genomes -- Periodicals; Génétique végétale; Plantes -- Génomes; Plant genetics; Plant genomes; Periodicals; Electronic journals; 572.8605
• DOI: 10.1155/2008/817210
• Languages: English
• ISSNs: 1687-5370

Abstract

Abstract : 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.