Multiple attribute decision making and sorting with maximizing deviations method
The properties of high-dimensional data spaces: implications for exploring gene and protein expression data
A ground truth based comparative study on clustering of gene expression data
specific gene module discovery using a diagnostic tree and caBIG™ VISDA. Proc IEEE Int Conf EMBS: New York City
Gene module identification from microarray data using nonnegative independent component analysis
A study of granular computing in the agenda of growth of artificial neural networks
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caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data
A Comprehensive Evaluation Approach that Highlights the ’Equilibrium’ and Its Application in Evaluation on Regional Innovation Capability
Comparative Studies between the Regional Economic Growth Levels Based on the Three-Stage Weight Dynamic Comprehensive Evaluation
Concept lattice reduction using different subset of attributes as information granules
Phenotypic-specific gene module discovery using a diagnostic tree and caBIGTM VISDA
INTERACTIVE FEATURE LEARNING FROM SAR IMAGE PATCHES