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Inductive Inference of Gene Regulatory Network Using Supervised and Semi-supervised Graph Neural Networks

View ORCID ProfileJuexin Wang, Anjun Ma, Qin Ma, Dong Xu, Trupti Joshi
doi: https://doi.org/10.1101/2020.09.27.315382
Juexin Wang
1Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Science Center, University of Missouri, 65211, USA
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  • ORCID record for Juexin Wang
Anjun Ma
2Department of Biomedical Informatics, School of Medicine, Ohio State University, OH, 43210, USA
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Qin Ma
2Department of Biomedical Informatics, School of Medicine, Ohio State University, OH, 43210, USA
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Dong Xu
1Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Science Center, University of Missouri, 65211, USA
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Trupti Joshi
3Department of Health Management and Informatics, Institute for Data Science and Informatics, University of Missouri, 65211, USA
1Department of Electrical Engineering and Computer Science, and Christopher S. Bond Life Science Center, University of Missouri, 65211, USA
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  • For correspondence: wangjue@missouri.edu Anjun.Ma@osumc.edu Qin.Ma@osumc.edu xudong@missouri.edu joshitr@health.missouri.edu
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Posted September 28, 2020.
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Inductive Inference of Gene Regulatory Network Using Supervised and Semi-supervised Graph Neural Networks
Juexin Wang, Anjun Ma, Qin Ma, Dong Xu, Trupti Joshi
bioRxiv 2020.09.27.315382; doi: https://doi.org/10.1101/2020.09.27.315382
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Inductive Inference of Gene Regulatory Network Using Supervised and Semi-supervised Graph Neural Networks
Juexin Wang, Anjun Ma, Qin Ma, Dong Xu, Trupti Joshi
bioRxiv 2020.09.27.315382; doi: https://doi.org/10.1101/2020.09.27.315382

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