{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T15:54:21Z","timestamp":1771602861675,"version":"3.50.1"},"reference-count":46,"publisher":"Oxford University Press (OUP)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Three major problems confront the construction of a human genetic network from heterogeneous genomics data using kernel-based approaches: definition of a robust gold-standard negative set, large-scale learning and massive missing data values.<\/jats:p>\n               <jats:p>Results: The proposed graph-based approach generates a robust GSN for the training process of genetic network construction. The RVM-based ensemble model that combines AdaBoost and reduced-feature yields improved performance on large-scale learning problems with massive missing values in comparison to Na\u00efve Bayes.<\/jats:p>\n               <jats:p>Contact: \u00a0dargenio@bmsr.usc.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary material is available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btq044","type":"journal-article","created":{"date-parts":[[2010,2,6]],"date-time":"2010-02-06T01:12:44Z","timestamp":1265418764000},"page":"807-813","source":"Crossref","is-referenced-by-count":28,"title":["Prediction of human functional genetic networks from heterogeneous data using RVM-based ensemble learning"],"prefix":"10.1093","volume":"26","author":[{"given":"Chia-Chin","family":"Wu","sequence":"first","affiliation":[{"name":"1 Department of Biomedical Engineering, University of Southern California, 2 Children's Hospital Los Angeles and 3Keck School of Medicine, University of Southern California, Los Angeles 90089, USA"}]},{"given":"Shahab","family":"Asgharzadeh","sequence":"additional","affiliation":[{"name":"1 Department of Biomedical Engineering, University of Southern California, 2 Children's Hospital Los Angeles and 3Keck School of Medicine, University of Southern California, Los Angeles 90089, USA"},{"name":"1 Department of Biomedical Engineering, University of Southern California, 2 Children's Hospital Los Angeles and 3Keck School of Medicine, University of Southern California, Los Angeles 90089, USA"}]},{"given":"Timothy J.","family":"Triche","sequence":"additional","affiliation":[{"name":"1 Department of Biomedical Engineering, University of Southern California, 2 Children's Hospital Los Angeles and 3Keck School of Medicine, University of Southern California, Los Angeles 90089, USA"},{"name":"1 Department of Biomedical Engineering, University of Southern California, 2 Children's Hospital Los Angeles and 3Keck School of Medicine, University of Southern California, Los Angeles 90089, USA"}]},{"given":"David Z.","family":"D'Argenio","sequence":"additional","affiliation":[{"name":"1 Department of Biomedical Engineering, University of Southern California, 2 Children's Hospital Los Angeles and 3Keck School of Medicine, University of Southern California, Los Angeles 90089, USA"}]}],"member":"286","published-online":{"date-parts":[[2010,2,4]]},"reference":[{"key":"2023012508011286000_B1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","article-title":"Gene Ontology: tool for the unification of biology","volume":"25","author":"Ashburner","year":"2000","journal-title":"Nat. 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