Gene expression data

Recent advances in gene expression data clustering: a case study with comparative results

G. B. Bezerra, Cançado, G. M. A., Menossi, M., de Castro, L. N., and Von Zuben, F. J., Recent advances in gene expression data clustering: a case study with comparative results, vol. 4, pp. 514-524, 2005.

Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the multitude of admissible perspectives for data analysis of gene expression require additional computational resources, such as hierarchical structures and dynamic allocation of resources. We present an immune-inspired hierarchical clustering device, called hierarchical artificial immune network (HaiNet), especially devoted to the analysis of gene expression data.

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