Author

J. M. Matthews

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

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioengineering· 1 Ecology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1

Frequent Co-Authors

A. P. G. Silva· 1 shared A. Rzhetsky· 1 shared B. Schuster· 1 shared C. Weber· 1 shared D. H. Tran· 1 shared D. Ishay-Ronen· 1 shared H. Suga· 1 shared J. K. K. Low· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 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 paperBiochemistry

A. P. G. Silva

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

OrganoID: a versatile deep learning platform for tracking and analysis of single-organoid dynamics

J. M. Matthews, B. Schuster, S. S. Kashaf, P. Liu, R. Ben-Yishay, D. Ishay-Ronen, L. Shen, C. Weber, M. Bielski, S. S. Kupfer, M. Bilgic, A. Rzhetsky, S. Tay

OrganoID automatically tracks and analyzes single-organoid dynamics in microscopy images, showing high accuracy in counting, sizing, and morphology analysis across multiple organoid types.

bioRxiv · Jan 13, 2022Bioengineering

Elongated sample plot shapes produce higher measurement precision in clustering populations

R. McGarvey, P. Burch, J. M. Matthews

This study simulates population density measurements using different sample plot shapes and finds that elongated transects improve precision compared to square quadrats.

bioRxiv · Sep 10, 2021 · PreprintEcology

Cyclic peptides can engage a single binding pocket through multiple, entirely divergent modes

K. Patel, L. J. Walport, J. L. Walshe, P. Solomon, J. K. K. Low, D. H. Tran, K. S. Mouradian, A. P. G. Silva, L. Wilkinson-White, J. M. Matthews, J. M. Guss, R. J. Payne, T. Passioura, H. Suga, J. P. Mackay

The paper identifies high-affinity, specific cyclic peptide inhibitors of BET bromodomains using RaPID screening, revealing diverse binding modes and structures.

bioRxiv · Nov 21, 2019Biochemistry