{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T01:59:55Z","timestamp":1767923995675,"version":"3.49.0"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":2511,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.5\/uk\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Data fusion methods are powerful tools for evaluating experiments designed to discover measurable features of directly unobservable systems. We describe an interactive software platform, Visual Integration for Bayesian Evaluation, that ingests or creates Bayesian posterior probability matrices, performs data fusion and allows the user to interactively evaluate the classification power of fusing various combinations of data sources, such as transcriptomic, proteomics, metabolomics, biochemistry and function.<\/jats:p>\n               <jats:p>Availability: \u00a0http:\/\/omics.pnl.gov\/software\/VIBE.php<\/jats:p>\n               <jats:p>Contact: \u00a0bj@pnl.gov<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp639","type":"journal-article","created":{"date-parts":[[2009,11,19]],"date-time":"2009-11-19T01:13:16Z","timestamp":1258593196000},"page":"280-282","source":"Crossref","is-referenced-by-count":12,"title":["VIBE 2.0: Visual Integration for Bayesian Evaluation"],"prefix":"10.1093","volume":"26","author":[{"given":"Nathaniel","family":"Beagley","sequence":"first","affiliation":[{"name":"1 Computational Mathematics and 2 Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA 99352, USA"}]},{"given":"Kelly G.","family":"Stratton","sequence":"additional","affiliation":[{"name":"1 Computational Mathematics and 2 Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA 99352, USA"}]},{"given":"Bobbie-Jo M.","family":"Webb-Robertson","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2009,11,17]]},"reference":[{"key":"2023012508213769100_B1","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1162\/0899766053019971","article-title":"\u201cEstimating the posterior probabilities using the k-nearest neighbor rule.\u201d","volume":"17","author":"Atiya","year":"2005","journal-title":"Neural Comput."},{"key":"2023012508213769100_B2","doi-asserted-by":"crossref","first-page":"17296","DOI":"10.1073\/pnas.0508647102","article-title":"A data integration methodology for systems biology","volume":"102","author":"Hwang","year":"2005","journal-title":"Proc. Natl Acad. Sci. USA."},{"key":"2023012508213769100_B3","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1021\/ac990832j","article-title":"An algorithm for automated bacterial identification using matrix-assisted laser desorption\/ionization mass spectrometry","volume":"72","author":"Jarman","year":"2000","journal-title":"Anal. Chem."},{"key":"2023012508213769100_B4","doi-asserted-by":"crossref","first-page":"3573","DOI":"10.1128\/AEM.02526-07","article-title":"Bayesian-integrated microbial forensics","volume":"74","author":"Jarman","year":"2008","journal-title":"Appl. Environ. Microbiol."},{"key":"2023012508213769100_B5","doi-asserted-by":"crossref","first-page":"2626","DOI":"10.1093\/bioinformatics\/bth294","article-title":"A statistical framework for genomic data fusion","volume":"20","author":"Lanckriet","year":"2004","journal-title":"Bioinformatics"},{"key":"2023012508213769100_B6","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1101\/gr.3610305","article-title":"Assessing the limits of genomic data integration for predicting protein networks","volume":"15","author":"Lu","year":"2005","journal-title":"Genome Res."},{"key":"2023012508213769100_B7","volume-title":"Generalized Linear Models.","author":"McCullagh","year":"1990"},{"key":"2023012508213769100_B8","volume-title":"Machine Learning.","author":"Mitchell","year":"1997"},{"key":"2023012508213769100_B9","doi-asserted-by":"crossref","first-page":"8348","DOI":"10.1073\/pnas.0832373100","article-title":"A Bayesian framework for combining heterogeneous data sources for gene function prediction","volume":"100","author":"Troyanskaya","year":"2003","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"2023012508213769100_B10","first-page":"451","article-title":"A Bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections","volume":"14","author":"Webb-Robertson","year":"2009","journal-title":"Pac. Symp. Biocomput."}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/26\/2\/280\/48857090\/bioinformatics_26_2_280.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/26\/2\/280\/48857090\/bioinformatics_26_2_280.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T08:22:11Z","timestamp":1674634931000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/26\/2\/280\/209783"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,11,17]]},"references-count":10,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2010,1,15]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btp639","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2010,1,15]]},"published":{"date-parts":[[2009,11,17]]}}}