Author

M. Cuperlovic-Culf

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

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Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. M. Crawley· 1 shared C. A. Piccirillo· 1 shared C. Arnold· 1 shared C. L. Cooper· 1 shared J. Fritz· 1 shared M.-A. Langlois· 1 shared P. S. McCluskie· 1 shared S. Bagheri· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperImmunology

A. M. Crawley

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1 paper

Recent·Most cited

Multi-variate statistical and machine learning reveals the interplay between sex and age in antibody responses to de novo SARS-CoV-2 infection and vaccination

M. Cuperlovic-Culf, S. Bennett, Y. Galipeau, P. S. McCluskie, C. Arnold, S. Bagheri, C. L. Cooper, M.-A. Langlois, J. Fritz, C. A. Piccirillo, A. M. Crawley

The paper uses statistical and machine learning methods to analyze how sex and age influence antibody responses to SARS-CoV-2 infection and vaccination.

bioRxiv · Dec 5, 2023Immunology