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Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information
Authors:Sandra E. Safo  Shuzhao Li  Qi Long
Affiliation:1. Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, U.S.A.;2. Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Emory University, Atlanta, Georgia, U.S.A.;3. Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, U.S.A.
Abstract:
Keywords:Biological information  Canonical correlation analysis  High dimension  Integrative analysis  Low sample size  Sparsity  Structural information
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