Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/AFC4CF9B-0EC4-4372-8285-746FB3A86870 | ||
| Year | 2008 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
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| Bibliographic Citation | M. E. Blazadonakis and M. Zervakis, "Wrapper filtering criteria via linear neuron and kernel approaches," Computers Biol. Medi., vol. 38, no. 8, pp. 894-912, Aug. 2008. doi:10.1016/j.compbiomed.2008.05.005 https://doi.org/10.1016/j.compbiomed.2008.05.005 | ||
| Appears in Collections |
The problem of marker selection in DNA microarray analysis has been addressed so far by two basic types of approaches, the so-called filter and wrapper methods. Wrapper methods operate in a recursive fashion where feature (gene) weights are re-evaluated and dynamically changing from iteration to iteration, while in filter methods feature weights remain fixed. Our objective in this study is to show that the application of filter criteria in a recursive fashion, where weights are potentially adjusted from cycle to cycle, produces noticeable improvement on the generalization performance measured on independent test sets.
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