Fuzzy clustering analysis of microarray data.

@article{Han2008FuzzyCA,
  title={Fuzzy clustering analysis of microarray data.},
  author={Lixin Han and Xiaoqin Zeng and Hong Yan},
  journal={Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine},
  year={2008},
  volume={222 7},
  pages={1143-8}
}
Fuzzy clustering is a useful tool for identifying relevant subsets of microarray data. This paper proposes a fuzzy clustering method for microarray data analysis. An advantage of the method is that it used a combination of the fuzzy c-means and the principal component analysis to identify the groups of genes that show similar expression patterns. It allows a gene to belong to more than a gene expression pattern with different membership grades. The method is suitable for the analysis of large… CONTINUE READING
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