{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T12:51:12Z","timestamp":1761742272130},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"18","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003,12,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Statistical methods usually used to perform Serial Analysis of Gene Expression (SAGE) analysis are based on hypothesis testing. They answer the biologist's question: \u2018what are the genes with differential expression greater than r with P-value smaller than P?\u2019. Another useful and not yet explored question is: \u2018what is the uncertainty in differential expression ratio of a gene?\u2019.<\/jats:p>\n               <jats:p>Results: We have used Bayesian model for SAGE differential gene expression ratios as a more informative alternative to hypothesis tests since it provides credibility intervals.<\/jats:p>\n               <jats:p>Availability: The model is implemented in R statistical language script and is available under GNU\/GLP copyleft at supplemental web site.<\/jats:p>\n               <jats:p>Supplementary information: \u00a0http:\/\/www.ime.usp.br\/~rvencio\/SAGEci\/<\/jats:p>","DOI":"10.1093\/bioinformatics\/btg357","type":"journal-article","created":{"date-parts":[[2003,12,10]],"date-time":"2003-12-10T20:41:02Z","timestamp":1071088862000},"page":"2461-2464","source":"Crossref","is-referenced-by-count":26,"title":["Using credibility intervals instead of hypothesis tests in SAGE analysis"],"prefix":"10.1093","volume":"19","author":[{"given":"Ricardo Z.N.","family":"V\u00eancio","sequence":"first","affiliation":[]},{"given":"Helena","family":"Brentani","sequence":"additional","affiliation":[]},{"given":"Carlos A.B.","family":"Pereira","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2003,12,12]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/18\/2461\/48904744\/bioinformatics_19_18_2461.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/19\/18\/2461\/48904744\/bioinformatics_19_18_2461.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T18:17:44Z","timestamp":1674670664000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/19\/18\/2461\/194623"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,12,12]]},"references-count":0,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2003,12,12]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btg357","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2003,12,12]]},"published":{"date-parts":[[2003,12,12]]}}}