Author

Ryan R. Brinkman

BC Cancer AgencyORCID 0000-0002-9765-2990Unclaimed 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· 3 Research Focus:cell type annotation· 3 Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Daniel YokosawaiD· 2 shared Albina Rahim· 1 shared Alexander ButyaeviD· 1 shared Alice YueiD· 1 shared Andrea CossarizzaiD· 1 shared Attila SzantneriD· 1 shared Bergur Finnbogason· 1 shared Cédric ChauveiD· 1 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Daniel YokosawaORCID

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Author profile →

4 papers

Recent·Most cited

Citizen science gamers enable automated flow cytometry gating through machine learning

Sebastiano Montante, Daniel Yokosawa, Leon Li, Alexander Butyaev, Mehrnoush Malek, Razzi Movassaghi, Quentin Michalchuk, Chieh-Ting Hsu, David Shmil, Albina Rahim, Andrea Cossarizza, Julia Boira Esteban, Kornél Erhart, Bergur Finnbogason, George Kelion, , Ryan R. Brinkman

The paper develops flowMagic, a machine learning tool for automated flow cytometry gating trained on expert data and citizen science gaming annotations, achieving high accuracy in cell population identification.

Cytometry Part A · Oct 29, 2026Peer-reviewedBioinformatics

Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows

Torin Halvorson, Gabrielle Boucher, Daniel Yokosawa, Jinqing Huang, Rosa García, Lieke Sanderink, Lan Chen, Lorraine Liu, J. Ernesto Fajardo-Despaigne, Jasper Halvorson, Ryan R. Brinkman, Suzanne Vercauteren, Sylvie Lesage, Jonathan L. Bramson, John David Rioux, , Megan K. Levings

This study improves the reproducibility of antigen-specific T cell detection using standardized AIM assay workflows and automated analysis tools.

Cell Reports Methods · May 19, 2026Peer-reviewedImmunology

Automated identification of maximal differential cell populations in flow cytometry data

Alice Yue, Cédric Chauve, Maxwell W. Libbrecht, Ryan R. Brinkman

The paper introduces a method to identify driver cell populations in flow cytometry data using a new score called SpecEnr and provides an R package for implementation.

Cytometry Part A · Sep 24, 2021Peer-reviewedBioinformatics

flowCut --- An R package for precise and accurate automated removal of outlier events and flagging of files based on time versus fluorescence analysis

Justin Meskas, Sherrie Wang, Ryan R. Brinkman

flowCut is an R package that automatically detects and removes outlier events in flow cytometry data, outperforming existing methods in evaluation.

bioRxiv · Apr 23, 2020 · PreprintBioinformatics