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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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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central|1
2007
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2063505/ https://ncbi.nlm.nih.gov/pubmed/17850657 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-334 |
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