{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:35:36Z","timestamp":1761597336416},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Found. Comput. Sci."],"published-print":{"date-parts":[[2012,2]]},"abstract":"<jats:p> In this work, we hybridize the Genetic Quantum Algorithm with the Support Vector Machines classifier for gene selection and classification of high dimensional Microarray Data. We named our algorithm GQA <jats:sub>SVM<\/jats:sub>. Its purpose is to identify a small subset of genes that could be used to separate two classes of samples with high accuracy. A comparison of the approach with different methods of literature, in particular GA <jats:sub>SVM<\/jats:sub> and PSO <jats:sub>SVM<\/jats:sub> [2], was realized on six different datasets issued of microarray experiments dealing with cancer (leukemia, breast, colon, ovarian, prostate, and lung) and available on Web. The experiments clearified the very good performances of the method. The first contribution shows that the algorithm GQA <jats:sub>SVM<\/jats:sub> is able to find genes of interest and improve the classification on a meaningful way. The second important contribution consists in the actual discovery of new and challenging results on datasets used. <\/jats:p>","DOI":"10.1142\/s0129054112400217","type":"journal-article","created":{"date-parts":[[2012,3,20]],"date-time":"2012-03-20T10:19:15Z","timestamp":1332238755000},"page":"431-444","source":"Crossref","is-referenced-by-count":9,"title":["HYBRIDIZATION OF GENETIC AND QUANTUM ALGORITHM FOR GENE SELECTION AND CLASSIFICATION OF MICROARRAY DATA"],"prefix":"10.1142","volume":"23","author":[{"given":"ALLANI","family":"ABDERRAHIM","sequence":"first","affiliation":[{"name":"Institut Sup\u00e9rieur de Gestion, 41, Rue de la libert\u00e9, Cit\u00e9 Bouchoucha 2000, Bardo, Tunisie"}]},{"given":"EL-GHAZALI","family":"TALBI","sequence":"additional","affiliation":[{"name":"LIFL-INRIA Futurs, B\u00e2t M3, Cit\u00e9 Scientifique, 59655 Villeneuve d'Ascq, France"},{"name":"King Saud University, Riyadh, Saudi Arabia"}]},{"given":"MELLOULI","family":"KHALED","sequence":"additional","affiliation":[{"name":"Institut des Hautes Etudes Commerciales de Carthage, Carthage Pr\u00e9sidence Carthage, Tunisie"}]}],"member":"219","published-online":{"date-parts":[[2012,4,6]]},"reference":[{"key":"rf3","first-page":"3","volume":"5","author":"Bennett C. H.","journal-title":"Journal of Cryptography"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.70.1895"},{"key":"rf10","first-page":"917","volume":"26","author":"Narendra P. M.","journal-title":"IEEE Trans. on computer, C"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1016\/S1088-467X(97)00008-5"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg461"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/16.10.906"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"rf27","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-5-136"},{"key":"rf29","volume-title":"Bioinformatics Research and Applications","volume":"4463","author":"Liao Chen","year":"2007"}],"container-title":["International Journal of Foundations of Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0129054112400217","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:13:24Z","timestamp":1565129604000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0129054112400217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,2]]},"references-count":9,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2012,4,6]]},"published-print":{"date-parts":[[2012,2]]}},"alternative-id":["10.1142\/S0129054112400217"],"URL":"https:\/\/doi.org\/10.1142\/s0129054112400217","relation":{},"ISSN":["0129-0541","1793-6373"],"issn-type":[{"value":"0129-0541","type":"print"},{"value":"1793-6373","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,2]]}}}