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Development of Immunoinformatics prediction methods for improved rational identification of T cell epitopes
Povlsen, Helle Rus
(PhD Student)
Nielsen, Morten
(Main Supervisor)
Jessen, Leon Eyrich
(Supervisor)
Experimental & Translational Immunology
T-Cells and Cancer
Immunoinformatics and Machine Learning
Bioinformatics
Department of Health Technology
Computational Autoimmunity
Bayesian Modeling & Molecular Evolution
Overview
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Publications
(1)
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Immunology and Microbiology
T Cell
100%
Epitope
100%
T Cell Receptor
75%
Cell Specificity
50%
Infectious Agent
25%
Severe Acute Respiratory Syndrome Coronavirus 2
12%
Monospecific Antibody
12%
Host Cell
12%
Immune System
12%
Surface Property
12%
Neuroscience
Epitope
100%
T Cell
100%
T Lymphocyte Receptor
62%
Cell Specificity
50%
Eicosanoid Receptor
25%
Staining Technique
25%
SARS Coronavirus
12%
Biochemistry, Genetics and Molecular Biology
T Cell
100%
T Cell Receptor
75%
Cell Specificity
50%
Infectious Agent
25%
Eicosanoid Receptor
25%
Surface Property
12%
Monospecific Antibody
12%
SARS Coronavirus
12%