{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,26]],"date-time":"2025-10-26T22:44:54Z","timestamp":1761518694698},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2002,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Recently, the temporal response of genes to changes in their environment has been investigated using cDNA microarray technology by measuring the gene expression levels at a small number of time points. Conventional techniques for time series analysis are not suitable for such a short series of time-ordered data. The analysis of gene expression data has therefore usually been limited to a fold-change analysis, instead of a systematic statistical approach.<\/jats:p>\n               <jats:p>Methods: We use the maximum likelihood method together with Akaike's Information Criterion to fit linear splines to a small set of time-ordered gene expression data in order to infer statistically meaningful information from the measurements. The significance of measured gene expression data is assessed using Student's t-test.<\/jats:p>\n               <jats:p>Results: Previous gene expression measurements of the cyanobacterium Synechocystis sp. PCC6803 were reanalyzed using linear splines. The temporal response was identified of many genes that had been missed by a fold-change analysis. Based on our statistical analysis, we found that about four gene expression measurements or more are needed at each time point.<\/jats:p>\n               <jats:p>Availability: An extension module for Python to calculate linear spline functions is available at http:\/\/bonsai.ims.u-tokyo.ac.jp\/~mdehoon. This software package (with patent pending) is free of charge for academic use only.<\/jats:p>\n               <jats:p>Contact: mdehoon@ims.u-tokyo.ac.jp<\/jats:p>\n               <jats:p>* To whom correspondence should be addressed.<\/jats:p>","DOI":"10.1093\/bioinformatics\/18.11.1477","type":"journal-article","created":{"date-parts":[[2002,11,8]],"date-time":"2002-11-08T02:30:01Z","timestamp":1036722601000},"page":"1477-1485","source":"Crossref","is-referenced-by-count":45,"title":["Statistical analysis of a small set of time-ordered gene\nexpression data using linear splines"],"prefix":"10.1093","volume":"18","author":[{"given":"M.J.L.","family":"de Hoon","sequence":"first","affiliation":[{"name":"Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan"}]},{"given":"S.","family":"Imoto","sequence":"additional","affiliation":[{"name":"Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan"}]},{"given":"S.","family":"Miyano","sequence":"additional","affiliation":[{"name":"Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo, 108-8639, Japan"}]}],"member":"286","published-online":{"date-parts":[[2002,11,1]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/18\/11\/1477\/48850086\/bioinformatics_18_11_1477.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/18\/11\/1477\/48850086\/bioinformatics_18_11_1477.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T07:23:14Z","timestamp":1674631394000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/18\/11\/1477\/178113"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,11,1]]},"references-count":0,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2002,11,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/18.11.1477","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2002,11]]},"published":{"date-parts":[[2002,11,1]]}}}