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- W1977183450 abstract "The paper presents a new approach to interrelated two-way clustering of gene expression data. Clustering of genes has been effected using entropy and a correlation measure, whereas the samples have been clustered using the fuzzy C -means. The efficiency of this approach has been tested on two well known data sets: the colon cancer data set and the leukemia data set. Using this approach, we were able to identify the important co-regulated genes and group the samples efficiently at the same time." @default.
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- W1977183450 date "2006-01-01" @default.
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- W1977183450 title "A new approach: Interrelated two-way clustering of gene expression data" @default.
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- W1977183450 doi "https://doi.org/10.1016/j.stamet.2005.09.002" @default.
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