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Computational discovery of regulatory elements in a continuous expression space

Approaches for regulatory element discovery from gene expression data usually rely on clustering algorithms to partition the data into clusters of co-expressed genes. Gene regulatory sequences are then mined to find overrepresented motifs in each cluster. However, this ad hoc partition rarely fits t...

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Detalles Bibliográficos
Autores principales: Lajoie, Mathieu, Gascuel, Olivier, Lefort, Vincent, Bréhélin, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4053739/
https://www.ncbi.nlm.nih.gov/pubmed/23186104
http://dx.doi.org/10.1186/gb-2012-13-11-r109

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