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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
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/04/2019
→
14/12/2022
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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.
T Cell
Immunology and Microbiology
100%
Epitope
Immunology and Microbiology
100%
T Cell Receptor
Immunology and Microbiology
75%
T Lymphocyte Receptor
Neuroscience
62%
Cell Specificity
Immunology and Microbiology
50%
Infectious Agent
Immunology and Microbiology
25%
Eicosanoid Receptor
Neuroscience
25%
Staining Technique
Neuroscience
25%
Research output
Research output per year
2022
2022
2022
1
Ph.D. thesis
Research output per year
Research output per year
Development of Immunoinformatics Methods for Improved Rational Identification of T cell Epitopes
Povlsen, H. R.,
2022
,
DTU Health Technology
.
170 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
T Cell
100%
Epitope
100%
T Cell Receptor
75%
T Lymphocyte Receptor
62%
Cell Specificity
50%
261
Downloads (Pure)