Author

Joshua Brand

University of Wisconsin–MadisonORCID 0000-0002-4578-4860Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna Roberts· 1 shared Brett L. HurstiD· 1 shared Daved Fared· 1 shared Evie H. CarchmaniD· 1 shared Gregory J. BabcockiD· 1 shared Huy Q. DinhiD· 1 shared Jacob Vinay Vikas KonakondlaiD· 1 shared Katherine A Halley· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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 paperImmunology

Anna Roberts

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

ImmunologybioRxivPreprintMay 6, 2026

Targeting the APRIL-BAFF axis in IgA nephropathy: preclinical insights from influenza challenge and single-cell spatial profiling

Kirk J. Rowley, Vinay Singh, Anna Roberts…·Luke N. Robinson

This study compares selective APRIL and dual APRIL/BAFF inhibition in mice and humans, finding that dual blockade more severely disrupts B-cell maturation and immune protection.

DOI 10.64898/2026.05.01.722321

mousescRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 13, 2025

Fluoro-forest: A random forest workflow for cell type annotation in high-dimensional immunofluorescence imaging

Joshua Brand, Wei Zhang, Evie H. Carchman, Huy Q. Dinh

Fluoro-forest improves cell type annotation in immunofluorescence imaging using a semi-supervised random forests workflow with cluster-based sampling and probabilistic outputs.

DOI 10.1101/2025.06.13.659547

imagingmachine learning (classical)

𝕏 PostBluesky