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Technical Report Details

Date 18-2-2003
Number DISI-TR-03-04
Title An ensemble approach to variable selection for classification of DNA microarray data
Authors Francesco Masulli and Stefano Rovetta
Bibtex Entry
E-mail ste@disi.unige.it
Link ftp://ftp.disi.unige.it/person/RovettaS/
Abstract The paper addresses the issue of assessing the importance of input variables with respect to a given dichotomic classification problem. Both linear and non-linear cases are considered. In the linear case, the application of derivative-based saliency yields a commonly adopted ranking criterion. In the non-linear case, the method is extended by introducing a resampling technique and by clustering the obtained results for stability of the estimate. The work is preliminary, and many properties and options are to be investigated in future research.
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