Output details
11 - Computer Science and Informatics
University of Exeter
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Article title
Gene expression rule discovery and multi-objective ROC analysis using a neural-genetic hybrid
Type
D - Journal article
Title of journal
International Journal of Data Mining and Bioinformatics
Article number
-
Volume number
7
Issue number
4
First page of article
376
ISSN of journal
1748-5681
Year of publication
2013
URL
-
Number of additional authors
-
Additional information
<28> This paper investigates the use of a multi-objective evolutionary algorithm and perceptron hybrid for the discovery of genes that can classify disease gene expression data. The method is used to discover a trade-off between maximal specificity and sensitivity and the minimum number of genes within the model for a number of datasets of varying difficulty. This is one of the first papers to use ROC analysis in this area and is an extended version of a conference paper presented at IEEE International Conference on Bioinformatics & Biomedicine (acceptance rate 17.2%). This journal has a 5-year impact factor of 0.64.
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Artificial Intelligence
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
