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Software . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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Prediction of horizontal gene transfer using graph neural network

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Aug 2021Publisher:Zenodo
Authors: Hao Zhou, Juan Felipe Beltrán;

doi: 10.5281/zenodo.5337019 , 10.5281/zenodo.5337018

Prediction of horizontal gene transfer using graph neural network

Abstract

Prediction of horizontal gene transfer (HGT) using graph neural network This pipeline performs data splitting on precomputed HGT data and trains a graph neural network model. Acknowledgment T. N. Kipf, M. Welling, Variational Graph Auto-Encoders, NIPS Workshop on Bayesian Deep Learning (2016) SNAP: Stanford Network Analysis Project TensorFlow (1.13.1) python (3.5.5) networkx scikit-learn scipy pandas numpy tqdm

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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