Author

M. Kadivar

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

Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

A. K. Bentzen· 2 shared S. R. Hadrup· 2 shared A. Borch· 1 shared A. M. Marquard· 1 shared A.-m. Bjerregaard· 1 shared E. S. Marquez· 1 shared H. R. Povlsen· 1 shared I. M. Svane· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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

A. K. Bentzen

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Identification and characterization of neoantigen-reactive CD8+ T cells following checkpoint blockade therapy in a pan-cancer setting

K. H. Moss, U. K. Hansen, V. A. B. De Lima, A. Borch, E. S. Marquez, A.-m. Bjerregaard, O. Oestrup, A. K. Bentzen, A. M. Marquard, M. Kadivar, I. M. Svane, U. Lassen, S. R. Hadrup

The paper detects neoantigen-reactive CD8+ T cells in tumor biopsies and peripheral blood post-checkpoint blockade therapy and identifies peptide hydrophobicity and treatment-induced phenotypes as factors influencing their response.

bioRxiv · Mar 17, 2024 · PreprintImmunology

ATRAP - Accurate T cell Receptor Antigen Pairing through data-driven filtering of sequencing information from single-cells

H. R. Povlsen, A. K. Bentzen, M. Kadivar, L. E. Jessen, S. R. Hadrup, M. Nielsen

ATRAP filters sequencing artifacts to accurately pair T cell receptors with their cognate peptide-MHC ligands from single-cell data, identifying 1494 high-confidence pairs across 16 donors.

bioRxiv · Aug 31, 2022 · PreprintImmunology