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Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures

Urda, D, Chambers, SJ, Jarman, I, Lisboa, P, Franco, L and Jerez, JM (2015) Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. In: Lecture Notes in Computer Science , 8623. pp. 199-206. (11th International Meeting, CIBB 2014, 26th-28th June 2014, Cambridge, UK).

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Several approaches have been proposed for the analysis of DNA microarray datasets, focusing on the performance and robustness of the final feature subsets. The novelty of this paper arises in the use of q-values to pre-filter the features of a DNA microarray dataset identifying the most significant ones and including this information into a genetic algorithm for further feature selection. This method is applied to a lung cancer microarray dataset resulting in similar performance rates and greater robustness in terms of selected features (on average a 36.21% of robustness improvement) when compared to results of the standard algorithm.

Item Type: Conference or Workshop Item (Paper)
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-24462-4_17
Uncontrolled Keywords: 08 Information And Computing Sciences
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Applied Mathematics (merged with Comp Sci 10 Aug 20)
Publisher: Springer
Related URLs:
Date Deposited: 29 Jun 2016 13:34
Last Modified: 13 Apr 2022 15:14
DOI or ID number: 10.1007/978-3-319-24462-4_17
URI: https://researchonline.ljmu.ac.uk/id/eprint/2593
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