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MARV: a tool for genome-wide multi-phenotype analysis of rare variants., , , , , , and . BMC Bioinformatics, 18 (1): 110:1-110:8 (2017)Bayesian Information Sharing Between Noise And Regression Models Improves Prediction of Weak Effects., , , , , , , and . CoRR, (2013)metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis., , , , , , , , , and 2 other author(s). Bioinformatics, 32 (13): 1981-1989 (2016)Multiple Output Regression with Latent Noise., , , , , , , , , and . J. Mach. Learn. Res., (2016)biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements., , , , , and . Bioinformatics, 33 (15): 2405-2407 (2017)Inferring combined CNV/SNP haplotypes from genotype data., , , , , , and . Bioinformatics, 26 (11): 1437-1445 (2010)Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression., , , , , , , , , and 8 other author(s). Bioinformatics, 30 (14): 2026-2034 (2014)