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Clustering cancer gene expression data by projective clustering ensemble

Yu, Xianxue ; Yu, Guoxian ; Wang, Jun Yu, Xianxue (correspondence author)

PLoS ONE, February 2017, Vol.12(2) [Peer Reviewed Journal]

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  • Title:
    Clustering cancer gene expression data by projective clustering ensemble
  • Author: Yu, Xianxue ; Yu, Guoxian ; Wang, Jun
  • Yu, Xianxue (correspondence author)
  • Subjects: Gene Expression ; Data Processing ; Cancer ; Bioinformatics & Computer Applications ; Human Genetics
  • Is Part Of: PLoS ONE, February 2017, Vol.12(2)
  • Description: Gene expression data analysis has paramount implications for gene treatments, cancer diagnosis and other domains. Clustering is an important and promising tool to analyze gene expression data. Gene expression data is often characterized by a large amount of genes but with limited samples, thus various projective clustering techniques and ensemble techniques have been suggested to combat with these challenges. However, it is rather challenging to synergy these two kinds of techniques together to avoid the curse of dimensionality problem and to boost the performance of gene expression data clustering. In this paper, we employ a projective clustering ensemble (PCE) to integrate the advantages of projective clustering and ensemble clustering, and to avoid the dilemma of combining multiple projective clusterings. Our experimental results on publicly available cancer gene expression data show PCE can improve the quality of clustering gene expression data by at least 4.5%...
  • Language: English
  • Identifier: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0171429

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