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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...
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Published in: | International Journal of Plant Genomics 2008, Vol.2008 (2008), p.308-311 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 1687-5370 1687-5389 |
DOI: | 10.1155/2008/817210 |