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Sparse cluster analysis of large-scale discrete variables with application to single nucleotide polymorphism data

Current extremely large scale genetic data presents significant challenges for cluster analysis. Most existing clustering methods are typically built on Euclidean distance and geared toward analyzing continuous response. They work well for clustering, e.g., microarray gene expression data, but often...

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Autor principal: Wu, Baolin
Format: Artigo
Idioma:Inglês
Publicat: 2012
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3601766/
https://ncbi.nlm.nih.gov/pubmed/23526332
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2012.743977
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