Author

L. Erlach

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 Approach:deep learning· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

A. R. G. de Vries· 1 shared C. Parola· 1 shared D. M. Mason· 1 shared D. Neumeier· 1 shared L. Csepregi· 1 shared S. Friedensohn· 1 shared S. T. Reddy· 1 shared T. A. Khan· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperImmunology

A. R. G. de Vries

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1 paper

Recent·Most cited

Convergent selection in antibody repertoires is revealed by deep learning

S. Friedensohn, D. Neumeier, T. A. Khan, L. Csepregi, C. Parola, A. R. G. de Vries, L. Erlach, D. M. Mason, S. T. Reddy

This study uses deep learning to identify convergent antibody sequences in mice, showing their antigen-specificity and potential for immunodiagnostics.

bioRxiv · Feb 25, 2020 · PreprintImmunology