Author

L. Kelbauskas

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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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

A. T. Taguchi· 1 shared C. Diehnelt· 1 shared N. W. Woodbury· 1 shared P. C. Williamson· 1 shared P. Stafford· 1 shared R. Chowdhury· 1 shared V. Green· 1 shared Z.-G. Zhao· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperImmunology

A. T. Taguchi

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1 paper

Recent·Most cited

Modeling the Sequence Dependence of Differential Antibody Binding in the Immune Response to Infectious Disease

R. Chowdhury, A. T. Taguchi, L. Kelbauskas, P. Stafford, C. Diehnelt, Z.-G. Zhao, P. C. Williamson, V. Green, N. W. Woodbury

The paper trains a neural network to model antibody binding to peptide sequences, improving disease classification accuracy by incorporating sequence information into the analysis.

bioRxiv · Nov 30, 2022Immunology