{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T12:33:34Z","timestamp":1721046814393},"reference-count":35,"publisher":"Walter de Gruyter GmbH","issue":"4","license":[{"start":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T00:00:00Z","timestamp":1635292800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,22]]},"abstract":"Abstract<\/jats:title>\n \n Biclustering<\/jats:italic> is a non-supervised data mining technique used to analyze gene expression data, it consists to classify subgroups of genes that have similar behavior under subgroups of conditions. The classified genes can have independent behavior under other subgroups of conditions. Discovering such co-expressed genes, called biclusters<\/jats:italic>, can be helpful to find specific biological features such as gene interactions under different circumstances. Compared to clustering, biclustering has two main characteristics: bi-dimensionality<\/jats:italic> which means grouping both genes and conditions simultaneously and overlapping<\/jats:italic> which means allowing genes to be in more than one bicluster at the same time. Biclustering algorithms, which continue to be developed at a constant pace, give as output a large number of overlapping biclusters. Visualizing groups of biclusters is still a non-trivial task due to their overlapping. In this paper, we present the most interesting techniques to visualize groups of biclusters and evaluate them.<\/jats:p>","DOI":"10.1515\/jib-2021-0019","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T20:40:29Z","timestamp":1635280829000},"source":"Crossref","is-referenced-by-count":2,"title":["An evaluation study of biclusters visualization techniques of gene expression data"],"prefix":"10.1515","volume":"18","author":[{"given":"Haithem","family":"Aouabed","sequence":"first","affiliation":[{"name":"Laboratory of Technologies of Information and Communication, and Electrical Engineering (LaTICE) , University of Tunis , Tunis , Tunisia"},{"name":"Faculty of Economic Sciences and Management of Sfax , University of Sfax , Sfax , Tunisia"}]},{"given":"Mourad","family":"Elloumi","sequence":"additional","affiliation":[{"name":"Faculty of Computing and Information Technology , The University of Bisha , Bisha , Saudi Arabia"}]},{"given":"Rodrigo","family":"Santamar\u00eda","sequence":"additional","affiliation":[{"name":"Departamento de Inform\u00e1tica y Autom\u00e1tica , Universidad de Salamanca , Salamanca , Spain"}]}],"member":"374","published-online":{"date-parts":[[2021,10,27]]},"reference":[{"key":"2023033120115562543_j_jib-2021-0019_ref_001","doi-asserted-by":"crossref","unstructured":"Eisen, MB, Spellman, PT, Brown, PO, Botstein, D. 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