{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T01:11:07Z","timestamp":1773277867848,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Science and Engineering Research Council (NSERC) of Canada under Postdoctoral Fellowship","doi-asserted-by":"publisher","award":["PDF-454649-2014"],"award-info":[{"award-number":["PDF-454649-2014"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2017,1,1]]},"DOI":"10.1109\/tcbb.2016.2631164","type":"journal-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:44:25Z","timestamp":1486503865000},"page":"167-181","source":"Crossref","is-referenced-by-count":36,"title":["Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion"],"prefix":"10.1109","volume":"14","author":[{"given":"Mehrdad J.","family":"Gangeh","sequence":"first","affiliation":[]},{"given":"Hadi","family":"Zarkoob","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Ghodsi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref38","first-page":"7388","article-title":"Molecular classification of human carcinomas by use of gene expression signatures","volume":"61","author":"su","year":"2001","journal-title":"Cancer Res"},{"key":"ref33","article-title":"Convolution kernels on discrete structures","author":"haussler","year":"1999"},{"key":"ref32","article-title":"Taxonomy inference using kernel dependence measures","author":"blaschko","year":"2008"},{"key":"ref31","first-page":"153","article-title":"Learning taxonomies by dependence maximization","author":"blaschko","year":"2009","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/89044"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.191502998"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/415436a"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/35000501"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxp008"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1198\/1061860032148"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1137\/050645506","article-title":"A direct formulation for sparse PCA using semidefinite programming","volume":"49","author":"d'aspremont","year":"2007","journal-title":"SIAM Rev"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.2004502"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2009.2022857"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2274276"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.184"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9947-1950-0051437-7"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2319157"},{"key":"ref26","author":"l\u00fctkepohl","year":"1997","journal-title":"Handbook of Matrices"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/1035134"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa012914"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1958.10501452"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-7-3","article-title":"Gene selection and classification of microarray data using random forest","volume":"7","author":"d\u00ecaz-uriarte","year":"2006","journal-title":"BMC Bioinf"},{"key":"ref40","first-page":"1439","article-title":"Use of the zero norm with linear models and kernel methods","volume":"3","author":"weston","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti724"},{"key":"ref13","first-page":"2075","article-title":"Kernel methods for measuring independence","volume":"6","author":"gretton","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/11564089_7","article-title":"Measuring statistical dependence with hilbert-schmidt norms","author":"gretton","year":"2005","journal-title":"Proc 16th Int Conf Algorithmic Learning Theory (ALT)"},{"key":"ref15","first-page":"585","article-title":"A kernel statistical test of independence","author":"gretton","year":"2007","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273600"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm216"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247852"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-014-0801-8"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1126\/science.286.5439.531","article-title":"Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring","volume":"286","author":"golub","year":"1999","journal-title":"Science"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/34.824819"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref5","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti216"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.195"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0032200"},{"key":"ref9","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-7-95","article-title":"Gene selection algorithms for microarray data based on least squares support vector machine","volume":"7","author":"tang","year":"2006","journal-title":"BMC Bioinf"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00180-011-0284-y"},{"key":"ref45","year":"0"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0040-8"},{"key":"ref47","first-page":"390","article-title":"A stability index for feature selection","author":"kuncheva","year":"2007","journal-title":"Proc 25th Int Multi-Conf Artif Intell Appl"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-11-63"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1198\/016214502753479248"},{"key":"ref44","article-title":"The Spider machine learning toolbox","author":"weston","year":"2005"},{"key":"ref43","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2105-15-14","article-title":"Fold change rank ordering statistics: A new method for detecting differentially expressed genes","volume":"15","author":"demb\u00e9l\u00e9","year":"2014","journal-title":"BMC Bioinf"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/7842713\/07842760.pdf?arnumber=7842760","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,23]],"date-time":"2022-07-23T19:05:46Z","timestamp":1658603146000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7842760\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,1]]},"references-count":51,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2016.2631164","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"value":"1545-5963","type":"print"},{"value":"1557-9964","type":"electronic"},{"value":"2374-0043","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,1]]}}}