A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

被引：0
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作者：
Kang K. Yan
Hongyu Zhao
Herbert Pang
机构：
[1] The University of Hong Kong,School of Public Health, Li Ka Shing Faculty of Medicine
[2] Yale University,Department of Biostatistics
来源：
BMC Bioinformatics | / 18卷
关键词：
Bayesian network; Relevance vector machine; Graph-based semi-supervised learning; Semi-definite programming (SDP)-support vector machine; Multiple data sources; Classification;
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