EDISA: extracting biclusters from multiple time-series of gene expression profiles

BACKGROUND: Cells dynamically adapt their gene expression patterns in response to various stimuli. This response is orchestrated into a number of gene expression modules consisting of co-regulated genes. A growing pool of publicly available microarray datasets allows the identification of modules by...

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Detalles Bibliográficos
Autores principales: Supper, Jochen, Strauch, Martin, Wanke, Dierk, Harter, Klaus, Zell, Andreas
Formato: Texto
Lenguaje:English
Publicado: BioMed Central|1 2007
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063505/
https://www.ncbi.nlm.nih.gov/pubmed/17850657
http://dx.doi.org/10.1186/1471-2105-8-334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2063505/
https://www.ncbi.nlm.nih.gov/pubmed/17850657
http://dx.doi.org/10.1186/1471-2105-8-334

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