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This survey presents a comprehensive overview of biclustering. It proposes an updated taxonomy for its fundamental components (bicluster, biclustering solution, biclustering algorithms, and evaluation measures) and applications. We unify scattered concepts in the literature with new definitions to accommodate the diversity of data types (such as tabular, network, and time series data) and the specificities of biological and biomedical data domains. We further propose a pipeline for biclustering data analysis and discuss practical aspects of incorporating biclustering in real-world applications. We highlight prominent application domains, particularly in bioinformatics, and identify typical biclusters to illustrate the analysis output. Moreover, we discuss important aspects to consider when choosing, applying, and evaluating a biclustering algorithm. We also relate biclustering with other data mining tasks (clustering, pattern mining, classification, triclustering, N-way clustering, and graph mining). Thus, it provides theoretical and practical guidance on biclustering data analysis, demonstrating its potential to uncover actionable insights from complex datasets.<\/jats:p>","DOI":"10.1093\/bib\/bbae342","type":"journal-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T11:30:52Z","timestamp":1721043052000},"source":"Crossref","is-referenced-by-count":22,"title":["Biclustering data analysis: a comprehensive survey"],"prefix":"10.1093","volume":"25","author":[{"given":"Eduardo N","family":"Castanho","sequence":"first","affiliation":[{"name":"LASIGE, Faculdade de Ci\u00eancias, Universidade de Lisboa , Campo Grande 16, P-1749-016 Lisbon , Portugal"}]},{"given":"Helena","family":"Aidos","sequence":"additional","affiliation":[{"name":"LASIGE, Faculdade de Ci\u00eancias, Universidade de Lisboa , Campo Grande 16, P-1749-016 Lisbon , Portugal"}]},{"given":"Sara C","family":"Madeira","sequence":"additional","affiliation":[{"name":"LASIGE, Faculdade de Ci\u00eancias, Universidade de Lisboa , Campo Grande 16, P-1749-016 Lisbon , Portugal"}]}],"member":"286","published-online":{"date-parts":[[2024,7,15]]},"reference":[{"key":"2024071511293053800_ref1","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/TCBB.2004.2","article-title":"Biclustering algorithms for biological data analysis: a survey","volume":"1","author":"Madeira","year":"2004","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"2024071511293053800_ref2","first-page":"93","article-title":"Biclustering of expression data","volume-title":"Proceedings. 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