Author

Kai‐Lin Hong

ETH ZurichORCID 0000-0001-5524-5353Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Lucas Stalder· 2 shared Sai T. ReddyiD· 2 shared Alessandro Genovese· 1 shared Alexander YermanosiD· 1 shared Andreas AgrafiotisiD· 1 shared Annette OxeniusiD· 1 shared Beichen GaoiD· 1 shared Camilla Panetti· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersImmunology

Lucas Stalder

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2 papers

Recent·Most cited

ImmunologyThe Journal of ImmunologyPeer-reviewedJul 26, 2025

Clonally expanded IgG antibody-secreting cells preferentially target influenza nucleoprotein following homologous and heterologous infections

Andreas Agrafiotis, Raphael Kuhn, Camilla Panetti…·Alexander Yermanos

The paper characterizes clonal dynamics of antibody-secreting cells in bone marrow following influenza infection, finding that IgG ASCs preferentially target nucleoprotein regardless of infection type.

DOI 10.1093/jimmun/vkaf144

humanscRNA-seq

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ImmunologybioRxivPreprintJul 23, 2025

Predicting TCR antigen specificity at proteome-scale with synthetic immune cells and machine learning

Kai‐Lin Hong, Beichen Gao, Lucas Stalder…·Sai T. Reddy

The paper presents a synthetic immune cell platform integrated with machine learning to predict TCR specificity to peptide-HLA antigens across the human proteome.

1 citation

humanproteomics

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