Author

Ronald L. Schnaar

Johns Hopkins UniversityORCID 0000-0002-7701-5484Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:E. coli· 1

Frequent Co-Authors

Alice Wei· 1 shared Anabel Gonzalez-GiliD· 1 shared Ashley Lau· 1 shared Dong Won KimiD· 1 shared Jeffrey J. GrayiD· 1 shared Jonathan P. LingiD· 1 shared Juan Carlos TroncosoiD· 1 shared Kerstin E. Braunstein· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Alice Wei

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2 papers

Recent·Most cited

Predictions from Deep Learning Propose Substantial Protein-Carbohydrate Interplay

Samuel W. Canner, Ronald L. Schnaar, Jeffrey J. Gray

The paper introduces two models, PiCAP and CAPSIF2, to predict protein-carbohydrate interactions at the protein and residue levels, achieving high accuracy and demonstrating substantial interplay across proteomes.

Proceedings of the National Academy of Sciences · May 18, 2026Peer-reviewedBioinformatics

Amyloid-beta and tau pathologies are both necessary to induce novel stage-specific microglia subtypes during Alzheimer's disease progression.

Dong Won Kim, Kevin J. Tu, Alice Wei, Ashley Lau, Anabel Gonzalez-Gil, Tianyu Cao, Kerstin E. Braunstein, Jonathan P. Ling, Juan Carlos Troncoso, Philip C. Wong, Seth Blackshaw, Ronald L. Schnaar, Tong Li

The paper identifies stage-specific microglia subtypes in Alzheimer's disease using single-cell RNA-sequencing, showing both amyloid-beta and tau pathologies are required for their induction.

bioRxiv · Oct 16, 2021 · PreprintNeuroscience