This paper investigates the effects on neural classification performance of biological data by features selection. Where the Relief-F and Symmetrical Tau feature selection algorithms were employed on a set of high level features of DNA and structural profiles. It was observed that even with a small percentage of the features used in neural classifiers, the recognition rate of E.coli promoters was not degraded significantly. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Conilione, P. C., & Wang, D. (2005). E-coli promoter recognition using neural networks with feature selection. In Lecture Notes in Computer Science (Vol. 3645, pp. 61–70). Springer Verlag. https://doi.org/10.1007/11538356_7
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