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...

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Detalles Bibliográficos
Autores principales: Jonnalagadda, Sudhakar, Srinivasan, Rajagopalan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
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

Internet

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

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