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Clustering gene expression data with a penalized graph-based metric
BACKGROUND: The search for cluster structure in microarray datasets is a base problem for the so-called "-omic sciences". A difficult problem in clustering is how to handle data with a manifold structure, i.e. data that is not shaped in the form of compact clouds of points, forming arbitra...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3023695/ https://www.ncbi.nlm.nih.gov/pubmed/21205299 http://dx.doi.org/10.1186/1471-2105-12-2 |