The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function

The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function

Background: Leveraging previously identified viral interactions with human host proteins, we apply a machine learning-based approach to connect SARS-CoV-2 viral proteins to relevant host biological functions, diseases, and pathways in a large-scale knowledge graph derived from the biomedical literat...

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Bibliographic Details
Main Authors: Billaud, J.-N (Author), Green, J. (Author), Jones, M. (Author), Krämer, A. (Author), Shiffman, D. (Author), Tugendreich, S. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
automated pattern recognition
Biological functions
Biological systems
Biomedical literature
Clinical observation
COVID-19
Diseases
Drug repurposing
Experimental evidence
Gene expression
Gene expression signatures
HTTP
human
Humans
Knowledge graph
Knowledge management
Knowledge representation
Machine learning
Machine learning models
Network biology
Network visualization
Network-based approach
Pattern Recognition, Automated
Proteins
SARS-CoV-2
transcriptome
Transcriptome
Turing machines
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Internet

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