Randomized maps for assessing the reliability of patients clusters in DNA microarray data analyses

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Objective:Clustering algorithms may be applied to the analysis of DNA microarray data to identify novel subgroups that may lead to new taxonomies of diseases defined at bio-molecular level. A major problem related to the identification of biologically meaningful clusters is the assessment of their reliability, since clustering algorithms may find clusters even if no structure is present.

论文关键词：Gene expression data clustering,Assessment of cluster stability,Cluster reliability,Random subspace,Random projections,DNA microarrays

论文评审过程：Received 19 October 2005, Revised 22 March 2006, Accepted 23 March 2006, Available online 23 May 2006.

论文官网地址：https://doi.org/10.1016/j.artmed.2006.03.005