Author

Kei Hayashi

Cornell UniversityPrimary ORCID profile (0000-0002-2088-5729 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Kei HayashiiD1 paper · Okayama University of Science

Biology Disciplines

Click to filter author papers

Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

Angelo G Peralta· 1 shared Heidi L. ReesinkiD· 1 shared Lara K. MahaliD· 1 shared Parisa Raeisimakiani· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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

1 shared paperMolecular Biology

Angelo G Peralta

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Lectin Microarray-based Glycomics and Machine Learning Identify Shared Osteoarthritis Biomarkers in Humans, Dogs, and Horses

Angelo G Peralta, Parisa Raeisimakiani, Kei Hayashi, Lara K. Mahal, Heidi L. Reesink

This study uses lectin microarrays and machine learning to identify conserved and species-specific glycan signatures in synovial fluid that distinguish healthy from osteoarthritic joints in humans, dogs, and horses.

bioRxiv · Oct 16, 2025 · PreprintMolecular Biology