{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T12:27:08Z","timestamp":1772022428755,"version":"3.50.1"},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005,2,15]]},"abstract":"Abstract<\/jats:title>\n Motivation: Analysis of gene expression data can provide insights into the time-lagged co-regulation of genes\/gene clusters. However, existing methods such as the Event Method and the Edge Detection Method are inefficient as they compare only two genes at a time. More importantly, they neglect some important information due to their scoring criterian. In this paper, we propose an efficient algorithm to identify time-lagged co-regulated gene clusters. The algorithm facilitates localized comparison and processes several genes simultaneously to generate detailed and complete time-lagged information for genes\/gene clusters.<\/jats:p>\n Results: We experimented with the time-series Yeast gene dataset and compared our algorithm with the Event Method. Our results show that our algorithm is not only efficient, but also delivers more reliable and detailed information on time-lagged co-regulation between genes\/gene clusters.<\/jats:p>\n Availability: The software is available upon request.<\/jats:p>\n Contact: \u00a0jiliping@comp.nus.edu.sg<\/jats:p>\n Supplementary information: Supplementary tables and figures for this paper can be found at http:\/\/www.comp.nus.edu.sg\/~jiliping\/p2.htm.<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti026","type":"journal-article","created":{"date-parts":[[2004,9,17]],"date-time":"2004-09-17T00:13:37Z","timestamp":1095380017000},"page":"509-516","source":"Crossref","is-referenced-by-count":64,"title":["Identifying time-lagged gene clusters using gene expression data"],"prefix":"10.1093","volume":"21","author":[{"given":"Liping","family":"Ji","sequence":"first","affiliation":[{"name":"Department of Computer Science, National University of Singapore 3 Science Drive 2, Singapore 117543, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kian-Lee","family":"Tan","sequence":"additional","affiliation":[{"name":"Department of Computer Science, National University of Singapore 3 Science Drive 2, Singapore 117543, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2004,9,16]]},"reference":[{"key":"2023013107234692800_B1","doi-asserted-by":"crossref","unstructured":"Barash, Y. and Friedman, N. 2001Context-specific bayesian clustering for gene expression data. 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Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology (ISMB 2000) AAAI Press, pp. 93\u2013103"},{"key":"2023013107234692800_B4","doi-asserted-by":"crossref","unstructured":"Cho, R.J., Campbell, M.J., Winzeler, E.A., Steinmetz, L., Conway, A., Wodicka, L., Wolfsberg, T.G., Gabrielian, A.E., Landsman, D., Lockhart, D.J., Davis, R.W. 1998A genome-wide transcriptional analysis of the mitotic cell cycle. Mol. Cell265\u201373","DOI":"10.1016\/S1097-2765(00)80114-8"},{"key":"2023013107234692800_B5","unstructured":"(Eds.). Information Retrieval: Data Structures & Algorithms1992, NJ Prentice-Hall"},{"key":"2023013107234692800_B6","unstructured":"Kato, M., Tsunoda, T., Takagi, T. 2001Lag analysis of genetic networks in the cell cycle of budding yeast. 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