Network Enrichment Significance Testing in Brain-Phenotype Association Studies

Link to paper

Software

Code is available for implementing NEST in both R and python on GitHub.

Software contributors:

• Bin Li, M.Eng, Computer Science PhD Candidate at Temple University

• Sarah Weinstein, Ph.D., Assistant Professor of Biostatistics at Temple University

Feel free to reach out with any comments/questions!

NEST in Python

Installation from command line:

First install dependents:

pip3 install scipy scikit-learn pandas matplotlib nibabel nilearn hcp_utils

Then install NEST:

pip install nest-sw

Source code in python is available here.

Tutorial in python is available here.

NEST in R

Installation in R:

if (!require(devtools)){
  install.packages("devtools")
}
devtools::install_github("smweinst/NEST")
library(NEST)

Source code in R is available here.

Tutorial in R is available here.