{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T21:47:21Z","timestamp":1783633641437,"version":"3.55.0"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"16","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2004,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Retrieval of information on biological processes from large-scale expression data is still a time-consuming task. An automated analysis utilizing all expression information would greatly increase our understanding of the samples under study.<\/jats:p>\n               <jats:p>Results: We describe here a novel method to obtain a functional analysis of complex gene expression data. Instead of applying a predefined expression threshold, Gene Ontology (GO) terms are weighted using the actual measured levels of expression of all associated genes. Based on this concept, the application GO-Mapper was developed to quantitatively link gene expression levels to GO-terms for multiple experiments in an automated way. The applicability of GO-Mapper was developed and validated on in house and public human microarray data and mouse SAGE data. We demonstrate that the GO-Mapper allows for interrelating relevant biological functions with the experiments under study.<\/jats:p>\n               <jats:p>Availability: The GO-Mapper application is free of charge available from our website.<\/jats:p>\n               <jats:p>Supplementary information: \u00a0http:\/\/www.erasmusmc.nl\/gatcplatform<\/jats:p>","DOI":"10.1093\/bioinformatics\/bth293","type":"journal-article","created":{"date-parts":[[2004,5,11]],"date-time":"2004-05-11T00:34:46Z","timestamp":1084235686000},"page":"2618-2625","source":"Crossref","is-referenced-by-count":38,"title":["GO-Mapper: functional analysis of gene expression data using the expression level as a score to evaluate Gene Ontology terms"],"prefix":"10.1093","volume":"20","author":[{"given":"Marcel","family":"Smid","sequence":"first","affiliation":[{"name":"Department of Pathology, Josephine Nefkens Institute, Erasmus MC, P.O. Box 1738, 3000DR Rotterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lambert C. J.","family":"Dorssers","sequence":"additional","affiliation":[{"name":"Department of Pathology, Josephine Nefkens Institute, Erasmus MC, P.O. Box 1738, 3000DR Rotterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2004,5,6]]},"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/16\/2618\/48906383\/bioinformatics_20_16_2618.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/20\/16\/2618\/48906383\/bioinformatics_20_16_2618.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T16:15:20Z","timestamp":1674663320000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/20\/16\/2618\/236558"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,5,6]]},"references-count":0,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2004,11,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bth293","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2004,11,1]]},"published":{"date-parts":[[2004,5,6]]}}}