GitHub / JBris / nextflow-graph-machine-learning
A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.
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PURL: pkg:github/JBris/nextflow-graph-machine-learning
Stars: 5
Forks: 1
Open issues: 5
License: mit
Language: Python
Size: 5.69 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: about 2 months ago
Topics: deep-learning, docker, docker-compose, dream5, gene-regulatory-network, gene-regulatory-network-inference, gene-regulatory-networks, graph-neural-network, graph-neural-networks, graphsage, machine-learning, minio, mlflow, mlops, nextflow, nextflow-pipeline, nextflow-pipelines, variational-autoencoder, variational-inference