Author

G. Vasmatzis

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

A. Solanki· 2 shared J. Cornette· 2 shared M. Riedel· 2 shared J. Udell· 1 shared T. K. Atkins· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersImmunology

A. Solanki

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2 papers

Recent·Most cited

Geographically Biased Composition of NetMHCpan Training Datasets and Evaluation of MHC-Peptide Binding Prediction Accuracy on Novel Alleles

T. K. Atkins, A. Solanki, J. Cornette, G. Vasmatzis, M. Riedel

The paper examines bias in NetMHCpan training datasets and evaluates prediction accuracy on novel alleles, finding no significant impact of training data disparities on prediction quality.

bioRxiv · Sep 3, 2023 · PreprintImmunology

Evasive spike variants elucidate the preservation of T cell immune response to the SARS-CoV-2 omicron variant

A. Solanki, J. Cornette, J. Udell, G. Vasmatzis, M. Riedel

This study shows that Omicron variants maintain strong T cell antigenicity despite immune evasion, using computational tools to compare MHC pathway responses across variants.

bioRxiv · Nov 4, 2022Immunology