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NIFTI: An evolutionary approach for finding number of clusters in microarray data
BACKGROUND: Clustering techniques are routinely used in gene expression data analysis to organize the massive data. Clustering techniques arrange a large number of genes or assays into a few clusters while maximizing the intra-cluster similarity and inter-cluster separation. While clustering of gene...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669482/ https://www.ncbi.nlm.nih.gov/pubmed/19178750 http://dx.doi.org/10.1186/1471-2105-10-40 |