Extracting biological significance from a large microarray dataset using data mining clustering technique is an important process in bioinformatics. In this paper, a microarray dataset (matrix 504 x 227) made availabl...
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(纸本)1402052626
Extracting biological significance from a large microarray dataset using data mining clustering technique is an important process in bioinformatics. In this paper, a microarray dataset (matrix 504 x 227) made available by SAMSI institute, was used as the base sample to develop a new demo web-based clustering system that exploits the improved efficiency and functionality of php/mysql technology. The clustering algorithms and robustness of php/mysql produced categorized microarray data that can be associated with diseases with improved visualizations.
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