GWASinlps: Nonlocal Prior Based Iterative SNP Selection Tool for
Genome-Wide Association Studies
Performs variable selection with data from Genome-wide association studies (GWAS) combining, in an iterative variable selection framework, the computational efficiency of the screen-and-select approach based on some association learning and the parsimonious uncertainty quantification provided by the use of nonlocal priors, as described in Sanyal et al. (2018).
Please use the canonical form
to link to this page.