guischu09 / pymbn

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README

Repository Description

This repository contains an under development full python implementation of the Multiple Sampling (MS) scheme for contructing stable Metabolic Brain Networks proposed at: https://doi.org/10.1101/2021.03.16.435674

Setup

Python setup (using Miniconda/Anaconda):

  1. If you do not have Miniconda/Anaconda installed, go to https://docs.conda.io/en/latest/miniconda.html and download it.

  2. Clone/download this repository.

  3. Open a terminal and navigate to the cloned/downloaded folder. Afterwards, type the following command:

conda env create -f environment.yml

  1. Done!

Running

  1. Open a terminal and navigate to the cloned/downloaded folder. Afterwards, type the following commands:

conda activate pymbn

  1. Generate results running the main scrpit:

python main.py

Check the obtained results at the results and outputs created directories.

Methods

Check our paper for the details: Stable brain PET metabolic networks using a multiple sampling scheme - https://doi.org/10.1101/2021.03.16.435674

Contact

guischu09@gmail.com - Guilherme Schu

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