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To address this problem, feature selection is a well-known technique to eliminate unnecessary genes in order to ensure accurate classification results. This paper proposes a binary version of Political Optimizer (PO) to solve feature selection problem using gene expression data. Two transfer functions are used to design a binary PO. The first one is based on Sigmoid function and will be noted as BPO-S, while the second one is based on V-shaped function and will be noted as BPO-V. The proposed methods are evaluated using 9 biological datasets and compared with 8 binary well-known metaheuristics. The comparative results show the prevalent performance of the BPO methods especially BPO-V in comparison with other techniques.<\/jats:p>","DOI":"10.1155\/2020\/8896570","type":"journal-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T02:46:21Z","timestamp":1606704381000},"page":"1-14","source":"Crossref","is-referenced-by-count":27,"title":["Binary Political Optimizer for Feature Selection Using Gene Expression Data"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0782-9658","authenticated-orcid":true,"given":"Ghaith","family":"Manita","sequence":"first","affiliation":[{"name":"Laboratory MARS, LR17ES05, ISITCom, University of Sousse, Sousse, Tunisia"},{"name":"ESEN, University of Manouba, Manouba, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4462-1805","authenticated-orcid":true,"given":"Ouajdi","family":"Korbaa","sequence":"additional","affiliation":[{"name":"Laboratory MARS, LR17ES05, ISITCom, University of Sousse, Sousse, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg062"},{"key":"2","first-page":"121","article-title":"Feature selection in a kernel space","author":"B. 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