Fits a Bayesian group-sparse multi-task regression model using Gibbs sampling. The hierarchical prior encourages shrinkage of the estimated regression coefficients at both the gene and SNP level. The model has been extended to a spatial model that allows for two type correlation in neuroimaging genetics data and been applied successfully to imaging phenotypes of dimension up to 100; it can be used more generally for multivariate (non-imaging) phenotypes.
|Author||Yin Song, Shufei Ge, Liangliang Wang, Farouk S. Nathoo, Keelin Greenlaw, Mary Lesperance|
|Maintainer||Yin Song <[email protected]>|
|Package repository||View on CRAN|
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