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Conventional clustering methods treat the sampling data at each time point as data obtained under different experimental conditions without considering the continuity of time-course data between time periods t and t +1. Here, we propose a method designated mathematical model-based clustering (MMBC).<\/jats:p>\n               <jats:p>Results: The proposed method, designated MMBC, was applied to artificial data and time-course data obtained using Saccharomyces cerevisiae. Our method is able to divide data into clusters more accurately and coherently than conventional clustering methods. Furthermore, MMBC is more tolerant to noise than conventional clustering methods.<\/jats:p>\n               <jats:p>Availability: Software is available upon request.<\/jats:p>\n               <jats:p>Contact: \u00a0taizo@brs.kyushu-u.ac.jp<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl016","type":"journal-article","created":{"date-parts":[[2006,1,25]],"date-time":"2006-01-25T02:48:15Z","timestamp":1138157295000},"page":"843-848","source":"Crossref","is-referenced-by-count":18,"title":["Novel technique for preprocessing high dimensional time-course data from DNA microarray: mathematical model-based clustering"],"prefix":"10.1093","volume":"22","author":[{"given":"Kazumi","family":"Hakamada","sequence":"first","affiliation":[{"name":"Graduate School of Systems Life Sciences, Kyushu University \u00a0 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan"}]},{"given":"Masahiro","family":"Okamoto","sequence":"additional","affiliation":[{"name":"Graduate School of Systems Life Sciences, Kyushu University \u00a0 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan"}]},{"given":"Taizo","family":"Hanai","sequence":"additional","affiliation":[{"name":"Graduate School of Systems Life Sciences, Kyushu University \u00a0 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, Japan"}]}],"member":"286","published-online":{"date-parts":[[2006,1,24]]},"reference":[{"key":"2023012409105157000_b1","doi-asserted-by":"crossref","DOI":"10.1515\/9781400874668","volume-title":"Adaptive Control Processes: A Guided Tour","author":"Bellman","year":"1961"},{"key":"2023012409105157000_b2","first-page":"217","article-title":"When is \u2018nearest neighbor\u2019 meaningful?","volume-title":"Proceedings of the International Conference on Database Theories","author":"Beyer","year":"1999"},{"key":"2023012409105157000_b3","first-page":"29","article-title":"Modeling gene expression with differential equations","volume":"4","author":"Chen","year":"1999","journal-title":"Pac. 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