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Semi-supervised consensus clustering for gene expression data analysis

BACKGROUND: Simple clustering methods such as hierarchical clustering and k-means are widely used for gene expression data analysis; but they are unable to deal with noise and high dimensionality associated with the microarray gene expression data. Consensus clustering appears to improve the robustn...

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Bibliografiske detaljer
Main Authors: Wang, Yunli, Pan, Youlian
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2014
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4036113/
https://ncbi.nlm.nih.gov/pubmed/24920961
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1756-0381-7-7
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