PROMETHEE filter-based method for microarray gene expression data

Gene expression datasets have been successfully applied for a variety of purposes, including cancer classification. The challenges faced in developing effective classifiers are high dimensionality and over-fitting. selection is an efficient method to overcome these improve the predictive accuracy classifier. Based on PROMETHEE, this paper introduces multi-filter ensemble approach by integrating results two potential filters namely MaCΨ-filter PCRWG-filter pre-select most informative genes. Experiments were conducted nine microarray demonstrate performance proposed method.