Software

• DensParcorr: Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks.

An R package of Dens-based approach to estimate partial correlation for studying direct connectivity in Large Scale Brain Network Study, proposed in Wang et al (2016). Available at https://cran.r-project.org/web/packages/DensParcorr/index.html.

• NIRStat: Novel statistical methods for NIRS data analysis.

An R package of conducting transfusion-related differential tests on NIRS time series with detection limit, which contains two testing statistics: Mean Area Under the Curve (MAUC) and Slope statistic, proposed in Guo et al (2018). This package applied a penalized spline method within an imputation setting. Testing is conducted by a nested permutation approach within imputation. Available at https://cran.r-project.org/web/packages/NIRStat/index.html.

• HINT: Hierarchical independent component analysis toolbox.

A Matlab GUI based toolbox to conduct a class of hierarchical independent component analysis for decomposing fMRI data with subject-specific covariates. Available at https://github.com/Emory-CBIS/HINT .

• LOCUS: Symmetric Connectivity Matrices Decomposition with Low-rank Dictionary using Universal Sparseness.

An R package for matrix decomposition. This R package provides a novel approach for decomposing the repeated measured symmetric connectivity matrices of network. Coming soon!