A new unsupervised gene clustering algorithm based on the integration of biological knowledge into expression data

BACKGROUND: Gene clustering algorithms are massively used by biologists when analysing omics data. Classical gene clustering strategies are based on the use of expression data only, directly as in Heatmaps, or indirectly as in clustering based on coexpression networks for instance. However, the clas...

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Detalles Bibliográficos
Autores principales: Verbanck, Marie, Lê, Sébastien, Pagès, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635920/
https://www.ncbi.nlm.nih.gov/pubmed/23387364
http://dx.doi.org/10.1186/1471-2105-14-42

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635920/
https://www.ncbi.nlm.nih.gov/pubmed/23387364
http://dx.doi.org/10.1186/1471-2105-14-42

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