Code for 'Scalable Bayesian Variable Selection for Structured High Dimensional Data ' is available via R package EMSHS in CRAN.

Code for `Efficient Bayes Regularization for Graphical Model Estimation' is available upon request.

Code for `Integrative Analysis of Brain Functional Networks Based on Anatomical Knowledge ' available at https://github.com/Emory-CBIS/siGGM

Matlab Toolbox for `Bayesian Joint Modeling of Multiple Brain Functional Networks' available on request

Matlab Code for `Estimating Dynamic Brain Functional Networks Using Multi-Subject fMRI data' available at https://github.com/Emory-CBIS/CCPD

R code for the DDT approach developed in the following paper is available here: https://github.com/Emory-CBIS/DDT

Higgins, I.A., Kundu, S., Choi, K.S., Mayberg, H.S. and Guo, Y. (2019). A difference degree test for comparing brain networks. Human brain mapping, 40(15):4518-4536

The CBIS Github page contains several recently developed software from the CBIS group: https://github.com/Emory-CBIS