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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
Descripción
Sumario: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.