Author

N. Tickotsky-Moskovitz

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

Biology Disciplines

Click to filter author papers

Immunology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

S. Dvorkin· 2 shared Y. Louzoun· 2 shared A. A. Kuperman· 1 shared A. Rotkopf· 1 shared H. Besser· 1 shared I. Springer· 1 shared S. Efroni· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersImmunology

S. Dvorkin

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

CDR3 and V- genes show distinct reconstitution patterns in T-cell repertoire post allogenic bone marrow transplantation

N. Tickotsky-Moskovitz, Y. Louzoun, S. Dvorkin, A. Rotkopf, A. A. Kuperman, S. Efroni

The paper tracks T-cell repertoire changes post allogeneic bone marrow transplantation, finding that CDR3 sequences remain donor-derived while V-gene usage shifts toward the recipient over time.

bioRxiv · Mar 5, 2020Immunology

Prediction of specific TCR-peptide binding from large dictionaries of TCR-peptide pairs

I. Springer, H. Besser, N. Tickotsky-Moskovitz, S. Dvorkin, Y. Louzoun

The paper introduces ERGO, a TCR-peptide binding predictor using NLP and deep learning, which outperforms existing methods in multiple benchmark tests.

bioRxiv · Jan 19, 2020Immunology