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Modeling Human Innate Immune Response Using Graph Neural Networks
Shagufta Henna
Department of Computing
Research output
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Contribution to journal
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Article
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peer-review
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Citation (Scopus)
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Dive into the research topics of 'Modeling Human Innate Immune Response Using Graph Neural Networks'. Together they form a unique fingerprint.
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Agricultural and Biological Sciences
Receptor
100%
Innate Immunity
100%
Immune Response
83%
Virus Replication
16%
Adaptive Immunity
16%
Pharmacology, Toxicology and Pharmaceutical Science
Pattern Recognition Receptor
100%
Infectious Agent
33%
Pathogen Associated Molecular Pattern
33%
Viral Clearance
16%
Coronavirinae
16%
Vaccine Development
16%
Inflammation
16%
Immunology and Microbiology
Pattern Recognition Receptor
100%
Coronavirus
66%
Germ Cell
16%
Biochemistry, Genetics and Molecular Biology
Pattern Recognition Receptor
100%
Germ Cell
16%
Medicine and Dentistry
Coronavirus
66%
Germ Cell
16%