This repository contain python scripts
- to detect statistically significant communities from PPI network.
- to perform centrality analysis
- python 3.0
- networkx 2.4
- qstest 1.1.0
- pandas 1.0.4
python python/find__significant_module.py -n example/example_network.txt -g example/example_input.txt -o output_dir
For details:
python python/find__significant_module.py -h
python python/perform_centrality_analysis.py -n example/example_network.txt -g example/example_input.txt -o output_dir
For details:
python python/perform_centrality_analysis.py -h
[1] | Blondel, V. D., Guillaume, J. L., Lambiotte, R. & Lefebvre, E. Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp. 2008, (2008). |
[2] | Kojaku, S. & Masuda, N. A generalised significance test for individual communities in networks. Sci. Rep. 8, 1–10 (2018). |