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For the authors experimentations, they have used the benchmark microarray datasets. The results show that the new enhanced recursive FA (RFA) outperforms the standard version with a reduction of dimensionality for all the datasets. As an example, for the leukemia microarray dataset, they have a perfect performance score of 100% with only 18 informative selected genes among the 7,129 of the original dataset. The RFA was competitive compared to other state-of-art approaches and achieved the best results for CNS, Ovarian cancer, MLL, prostate, Leukemia_4c, and lymphoma datasets.<\/jats:p>","DOI":"10.4018\/ijsir.2019040102","type":"journal-article","created":{"date-parts":[[2019,3,8]],"date-time":"2019-03-08T14:31:35Z","timestamp":1552055495000},"page":"21-33","source":"Crossref","is-referenced-by-count":10,"title":["An Enhanced Recursive Firefly Algorithm for Informative Gene Selection"],"prefix":"10.4018","volume":"10","author":[{"given":"Nassima","family":"Dif","sequence":"first","affiliation":[{"name":"EEDIS Laboratory, Djillali Liabes University, Sidi Belabbes, Algeria"}]},{"given":"Zakaria","family":"Elberrichi","sequence":"additional","affiliation":[{"name":"EEDIS Laboratory, Djillali Liabes University, Sidi Belabbes, Algeria"}]}],"member":"2432","reference":[{"key":"IJSIR.2019040102-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2015.03.001"},{"key":"IJSIR.2019040102-1","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2011.12"},{"key":"IJSIR.2019040102-2","doi-asserted-by":"publisher","DOI":"10.1016\/j.gdata.2016.02.012"},{"key":"IJSIR.2019040102-3","unstructured":"Bala, J., Huang, J., Vafaie, H., DeJong, K., & Wechsler, H. 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