Author

A. W. Dowsey

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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Animal Behavior & Cognition· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

A. M. Phillips· 1 shared A. Veler· 1 shared A. X. Montout· 1 shared B. Simonetti· 1 shared C. C. Ioannou· 1 shared C. Wuelfing· 1 shared D. S. Lange· 1 shared D. Ye· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperImmunology

A. M. Phillips

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2 papers

Recent·Most cited

Five inhibitory receptors display distinct vesicular distributions in T cells

J. Lu, A. Veler, B. Simonetti, T. Raj, P. H. Chou, S. J. Cross, A. M. Phillips, X. Ruan, L. Huynh, A. W. Dowsey, D. Ye, R. F. Murphy, P. Verkade, P. J. Cullen, C. Wuelfing

The paper characterizes the subcellular distributions of five inhibitory receptors in T cells and finds they are distinct, with CTLA-4 preferentially associating with lysosomal-derived vesicles.

bioRxiv · Jul 21, 2023Immunology

Early prediction of declining health in small ruminants with accelerometers and machine learning

A. X. Montout, R. S. Bhamber, D. S. Lange, D. Z. Ndlovu, E. R. Morgan, C. C. Ioannou, T. H. Terrill, J. A. Van Wyk, T. Burghardt, A. W. Dowsey

This study uses accelerometers and machine learning to predict health decline in small ruminants, achieving up to 83% precision in detecting changes in FAMACHA scores.

bioRxiv · Aug 3, 2020 · PreprintAnimal Behavior & Cognition