{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T18:41:15Z","timestamp":1779302475692,"version":"3.51.4"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2922432","type":"journal-article","created":{"date-parts":[[2019,6,12]],"date-time":"2019-06-12T20:00:14Z","timestamp":1560369614000},"page":"78159-78169","source":"Crossref","is-referenced-by-count":22,"title":["Feature Selection for Binary Classification Within Functional Genomics Experiments via Interquartile Range and Clustering"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3933-9143","authenticated-orcid":false,"given":"Zardad","family":"Khan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Naeem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Umair","family":"Khalil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dost Muhammad","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saeed","family":"Aldahmani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Hamraz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1126\/science.286.5439.531"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(05)17866-0"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730491"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg179"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-6-148"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1002\/bimj.200900028","article-title":"$L_{1}$ penalized estimation in the Cox proportional hazards model","volume":"52","author":"goeman","year":"2010","journal-title":"Biometrical J"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIAS.2006.294156"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-018-2400-2"},{"key":"ref27","first-page":"209","article-title":"Innovative technique for gene selection in microarray based on recursive cluster elimination and dimension reduction for cancer classification","volume":"1","author":"vaidya","year":"2014","journal-title":"International Journal of Engineering Research & Innovation"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/sym10100516"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-7-3"},{"key":"ref20","first-page":"4227","article-title":"MaskedPainter: Feature selection for microarray data analysis","author":"apiletti","year":"2007","journal-title":"Proc EMBS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-14-101"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-0893-0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm478"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkr241"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01044-6_63"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.96.12.6745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISCMI.2017.8279592"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1038\/415530a","article-title":"Gene expression profiling predicts clinical outcome of breast cancer","volume":"415","author":"van\u2019t veer","year":"2002","journal-title":"Nature"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/sj.onc.1209778"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1093\/nsr\/nwt032","article-title":"Challenges of big data analysis","volume":"1","author":"fan","year":"2014","journal-title":"Nat Sci Rev"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.02.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1201\/9781315139470"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.02.007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71783-6_9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm486"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01044-6_63"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065705000396"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2007.1006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2789451"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.02.008"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-15-274"},{"key":"ref7","author":"james","year":"2017","journal-title":"An Introduction to Statistical Learning"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2450498"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2010.tm09415"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2689040"},{"key":"ref45","first-page":"17","article-title":"EBK-means: A clustering technique based on elbow method and k-means in WSN","volume":"105","author":"bholowalia","year":"2014","journal-title":"Int J Comput Appl"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2696365"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2694446"},{"key":"ref42","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"liaw","year":"2002","journal-title":"R News"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1155\/2010\/616358"},{"key":"ref44","year":"2017","journal-title":"R A Language and Environment for Statistical Computing"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v011.i09"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08735703.pdf?arnumber=8735703","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T16:53:00Z","timestamp":1721407980000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8735703\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2922432","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}