This project aims to find dynamical network biomarkers from a transcriptomic expression file using a biphasic algorithm to obtain network modules in a network-interaction file.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Python3.7 and the following libraries: -pandas -scipy -matplotlib -multiprocessing -datetime that may be installed as normal python libraries, depending on the user's operating system. In debian, write on the terminal:
$ pip install "library"
Example:
$ pip install pandas
This script takes as arguments: 1-An expression file separated by tabs. Example: test-expression.csv 2-A file determining the correspondence between the spotID and NTgenID. Example: test-probe-genid.txt 3-A file determining the correspondence between the NtgenID and AtgenID. Example: test-orthologous.txt 4-A network interaction file with the interactor1 and interactor2 separated by 2 tabs. Example: test-interaction-file.txt Put the files in the same directory as the script and launch the following command in a terminal:
python3.7 DNBs-xx.py test-expression.csv test-probe-genid.txt test-orthologous.txt test-interaction-file.txt
- Adrián Tarazona Sánchez - Initial work - DNB
This project is licensed under the GPL-3.0 License - see the LICENSE.md file for details