Author

H. Melichar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

A. Fähnrich· 1 shared D. Rogers· 1 shared E. Mallet Gauthier· 1 shared F. Buytenhuijs· 1 shared I. M. N. Wortel· 1 shared J. N. Mandl· 1 shared J. Textor· 1 shared J. Westermann· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. Fähnrich

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1 paper

Recent·Most cited

Machine learning analysis of the T cell receptor repertoire identifies sequence features that predict self-reactivity

J. Textor, F. Buytenhuijs, D. Rogers, E. Mallet Gauthier, S. Sultan, I. M. N. Wortel, K. Kalies, A. Fähnrich, R. Pagel, H. Melichar, J. Westermann, J. N. Mandl

The paper uses machine learning to identify TCR sequence features predicting self-reactivity, finding that n-nucleotide additions and acidic amino acids reduce self-reactivity.

bioRxiv · Nov 23, 2022Immunology