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GraphTGI

A graph attention-based embedding model for predicting TF-target gene interactions.

Install / Use

/learn @YanghanWu/GraphTGI
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

GraphTGI

An graph attention-based model for predicting TF-target gene interactions. For details of the model, refer to this paper.

Overview

  • data/ contains the necessary dataset files;
  • main.py main function for GraphTGI.

Requirment

The main requirements are:

  • numpy==1.19.2
  • mxnet-cu102==1.6.0.post0
  • dgl-cu102==0.6.0.post1

useconda env create -f environment.yaml to set up the environment.

Cite

Please cite our paper if you use this code in your own work.

Related Skills

View on GitHub
GitHub Stars8
CategoryDevelopment
Updated2y ago
Forks2

Languages

Python

Security Score

60/100

Audited on Mar 13, 2024

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