From 083bb9d88ac1dbba309927540d065189ac3141fe Mon Sep 17 00:00:00 2001 From: Aritra Bose Date: Mon, 6 Nov 2023 11:16:19 -0500 Subject: [PATCH] Update README.md --- geno4sd/topology/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/geno4sd/topology/README.md b/geno4sd/topology/README.md index 1d4be90..f3e7360 100644 --- a/geno4sd/topology/README.md +++ b/geno4sd/topology/README.md @@ -1,6 +1,8 @@ # CuNA CuNA or Cumulant-based Network Analysis finds higher-order genotype-phenotype relationships from multi-omic data with EHR information across different thresholds of statistical significance. +## Prerequisites +CuNA uses the Julia library [Cumulants.jl](https://github.com/iitis/Cumulants.jl) which in turn requires Julia to be in your `PATH` variable. Install Julia from the [Julia software page](https://julialang.org/downloads/) and set your `PATH` as `export PATH=$PATH:_path_to_julia_` ## Input CuNA takes a csv file as input with the features in columns and samples in rows (see `./sample_data/CuNA_TCGA_sample_data.csv`). It is multithreaded and takes an argument for number of threads