Swarm intelligence based wavelet coefficient feature selection for mass spectral classification: an application to proteomics data.


This paper introduces the ant colony algorithm, a novel swarm intelligence based optimization method, to select appropriate wavelet coefficients from mass spectral data as a new feature selection method for ovarian cancer diagnostics. By determining the proper parameters for the ant colony algorithm (ACA) based searching algorithm, we perform the feature… (More)
DOI: 10.1016/j.aca.2009.08.008


9 Figures and Tables