Filter-wrapper approach to feature selection using RST-DPSO for mining protein function


This paper proposed a feature selection strategy based on rough set theory (RST) and discrete particle swarm optimization (DPSO) methods prior to classify protein function. RST is adopted in the first phase with the aim to eliminate the insignificant features and prepared the reduce features to the next phase. In the second phase, the reduced features are… (More)
DOI: 10.1109/DMO.2009.5341906


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