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SpeCond: a method to detect condition-specific gene expression

Transcriptomic studies routinely measure expression levels across numerous conditions. These datasets allow identification of genes that are specifically expressed in a small number of conditions. However, there are currently no statistically robust methods for identifying such genes. Here we presen...

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Detalles Bibliográficos
Autores principales: Cavalli, Florence MG, Bourgon, Richard, Huber, Wolfgang, Vaquerizas, Juan M, Luscombe, Nicholas M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333772/
https://www.ncbi.nlm.nih.gov/pubmed/22008066
http://dx.doi.org/10.1186/gb-2011-12-10-r101
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author Cavalli, Florence MG
Bourgon, Richard
Huber, Wolfgang
Vaquerizas, Juan M
Luscombe, Nicholas M
author_facet Cavalli, Florence MG
Bourgon, Richard
Huber, Wolfgang
Vaquerizas, Juan M
Luscombe, Nicholas M
author_sort Cavalli, Florence MG
collection PubMed
description Transcriptomic studies routinely measure expression levels across numerous conditions. These datasets allow identification of genes that are specifically expressed in a small number of conditions. However, there are currently no statistically robust methods for identifying such genes. Here we present SpeCond, a method to detect condition-specific genes that outperforms alternative approaches. We apply the method to a dataset of 32 human tissues to determine 2,673 specifically expressed genes. An implementation of SpeCond is freely available as a Bioconductor package at http://www.bioconductor.org/packages/release/bioc/html/SpeCond.html.
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spelling pubmed-33337722012-04-23 SpeCond: a method to detect condition-specific gene expression Cavalli, Florence MG Bourgon, Richard Huber, Wolfgang Vaquerizas, Juan M Luscombe, Nicholas M Genome Biol Method Transcriptomic studies routinely measure expression levels across numerous conditions. These datasets allow identification of genes that are specifically expressed in a small number of conditions. However, there are currently no statistically robust methods for identifying such genes. Here we present SpeCond, a method to detect condition-specific genes that outperforms alternative approaches. We apply the method to a dataset of 32 human tissues to determine 2,673 specifically expressed genes. An implementation of SpeCond is freely available as a Bioconductor package at http://www.bioconductor.org/packages/release/bioc/html/SpeCond.html. BioMed Central 2011 2011-10-18 /pmc/articles/PMC3333772/ /pubmed/22008066 http://dx.doi.org/10.1186/gb-2011-12-10-r101 Text en Copyright ©2011 Cavalli et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Cavalli, Florence MG
Bourgon, Richard
Huber, Wolfgang
Vaquerizas, Juan M
Luscombe, Nicholas M
SpeCond: a method to detect condition-specific gene expression
title SpeCond: a method to detect condition-specific gene expression
title_full SpeCond: a method to detect condition-specific gene expression
title_fullStr SpeCond: a method to detect condition-specific gene expression
title_full_unstemmed SpeCond: a method to detect condition-specific gene expression
title_short SpeCond: a method to detect condition-specific gene expression
title_sort specond: a method to detect condition-specific gene expression
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333772/
https://www.ncbi.nlm.nih.gov/pubmed/22008066
http://dx.doi.org/10.1186/gb-2011-12-10-r101
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