We have developed a series of statistical inference and data visualization tools that facilitate efficient construction of novel gene regulatory networks, identification of key network regulators, and testing the significance of overlap among multiple sets of genes. Several of our resources include:

• Multiscale Network Analysis

• Multiscale Network Modeling in Alzheimer's Disease

• Key Driver Analysis (presentation)

• Key Driver Analysis (demo presentation)

• Key Driver Analysis (paper)

• Key Driver Analysis (R package): ZIP (windows) and GZ (Linux)

• MEGENA: Multiscale Embedded Gene coExpression Network Analysis (paper): DOI and PDF

• MEGENA: Multiscale Embedded Gene coExpression Network Analysis (tutorial)

• MEGENA: Multiscale Embedded Gene coExpression Network Analysis (R package): github and CRAN

• Super Exact Test: Efficient Test and Visualization of Multi-Set Intersections (paper): DOI and PDF

• Super Exact Test: Efficient Test and Visualization of Multi-Set Intersections (tutorial)

• Super Exact Test: Efficient Test and Visualization of Multi-Set Intersections R package: github and CRAN