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In the next step, the quantum-inspired owl search algorithm ([Formula: see text]), a new filter fitness function-based metaheuristic search technique incorporating concepts from quantum computing, is developed to identify the best subset of genes from the predetermined list. The experimental findings reveal that the ensemble approach in the first step can select more dominant groups of genes than each of the individual filters. Furthermore, it has been found that [Formula: see text] can reduce the cardinality of the selected optimum gene subset with comparable classification accuracy and requires lesser computational time than our earlier proposed QIOSA-based wrapper approach (i.e. [Formula: see text]). Besides, compared with three popular evolutionary feature subset selection algorithms, [Formula: see text] efficiently reduces the optimum cardinality of the gene subset while maintaining acceptable classification accuracy. <\/jats:p>","DOI":"10.1142\/s0218001423510011","type":"journal-article","created":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T14:55:21Z","timestamp":1671202521000},"source":"Crossref","is-referenced-by-count":0,"title":["Quantum-Inspired Owl Search Algorithm with Ensembles of Filter Methods for Gene Subset Selection from Microarray Data"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2658-2745","authenticated-orcid":false,"given":"Ashis Kumar","family":"Mandal","sequence":"first","affiliation":[{"name":"Graduate School of Software and Information Science, Iwate Prefectural University, Iwate, Japan"},{"name":"Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rikta","family":"Sen","sequence":"additional","affiliation":[{"name":"Graduate School of Software and Information Science, Iwate Prefectural University, Iwate, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Basabi","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Regional Research Cooperation Center, Iwate Prefectural University, Iwate, Japan"},{"name":"School of Computing, Madanapalle Institute of Technology and Science, Andhra Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2023,2,10]]},"reference":[{"key":"S0218001423510011BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.ygeno.2019.09.015"},{"key":"S0218001423510011BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1207-1"},{"key":"S0218001423510011BIB003","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/604910"},{"key":"S0218001423510011BIB004","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.swevo.2019.04.010","volume":"48","author":"Baliarsingh S. 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