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: | , , |
---|---|
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 |
_version_ | 1782152038540378112 |
---|---|
author | You, Na Liu, Junmei Mao, Chang Xuan |
author_facet | You, Na Liu, Junmei Mao, Chang Xuan |
author_sort | You, Na |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2277491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-22774912008-11-06 An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data You, Na Liu, Junmei Mao, Chang Xuan Int J Plant Genomics Research Article 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. Hindawi Publishing Corporation 2008 2008-03-13 /pmc/articles/PMC2277491/ /pubmed/18389067 http://dx.doi.org/10.1155/2008/817210 Text en Copyright © 2008 Na You et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article You, Na Liu, Junmei Mao, Chang Xuan An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data |
title | An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data |
title_full | An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data |
title_fullStr | An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data |
title_full_unstemmed | An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data |
title_short | An Empirical Bayesian Method for Detecting Differentially Expressed Genes Using EST Data |
title_sort | empirical bayesian method for detecting differentially expressed genes using est data |
topic | Research Article |
url | 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 |
work_keys_str_mv | AT youna anempiricalbayesianmethodfordetectingdifferentiallyexpressedgenesusingestdata AT liujunmei anempiricalbayesianmethodfordetectingdifferentiallyexpressedgenesusingestdata AT maochangxuan anempiricalbayesianmethodfordetectingdifferentiallyexpressedgenesusingestdata AT youna empiricalbayesianmethodfordetectingdifferentiallyexpressedgenesusingestdata AT liujunmei empiricalbayesianmethodfordetectingdifferentiallyexpressedgenesusingestdata AT maochangxuan empiricalbayesianmethodfordetectingdifferentiallyexpressedgenesusingestdata |