{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,6]],"date-time":"2024-07-06T18:02:35Z","timestamp":1720288955233},"reference-count":11,"publisher":"Oxford University Press (OUP)","issue":"15","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Summary: VISDA (Visual Statistical Data Analyzer) is a caBIG\u2122 analytical tool for cluster modeling, visualization and discovery that has met silver-level compatibility under the caBIG initiative. Being statistically principled and visually interfaced, VISDA exploits both hierarchical statistics modeling and human gift for pattern recognition to allow a progressive yet interactive discovery of hidden clusters within high dimensional and complex biomedical datasets. The distinctive features of VISDA are particularly useful for users across the cancer research and broader research communities to analyze complex biological data.<\/jats:p><jats:p>Availability: \u00a0http:\/\/gforge.nci.nih.gov\/projects\/visda\/<\/jats:p><jats:p>Contact: \u00a0yuewang@vt.edu<\/jats:p><jats:p>Supplementary information: Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btm290","type":"journal-article","created":{"date-parts":[[2007,6,1]],"date-time":"2007-06-01T00:14:26Z","timestamp":1180656866000},"page":"2024-2027","source":"Crossref","is-referenced-by-count":11,"title":["VISDA: an open-source caBIG\u2122 analytical tool for data clustering and beyond"],"prefix":"10.1093","volume":"23","author":[{"given":"Jiajing","family":"Wang","sequence":"first","affiliation":[{"name":"1 Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, 2Bioinformatics 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