BHMSMAfMRI - Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data
Package BHMSMAfMRI performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041>, or other multiscale data, using wavelet based prior that borrows strength across subjects and provides posterior smoothed images of the effect sizes and samples from the posterior distribution.
Last updated 2 years ago
bayesian-hierarchical-modelsfmri-data-analysismultiscale-datawavelet-transformopenblascppopenmp
2.81 score 13 scripts 584 downloads
GWASinlps - Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 <DOI:10.1093/bioinformatics/bty472>).
Last updated 2 years ago
gwashigh-dimensionalnon-local-priorvariable-selectionopenblascpp
2.70 score 3 scripts 240 downloads