Author

L. A. Royer

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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Cell Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

H. Kobayashi· 2 shared K. C. Cheveralls· 2 shared A. C. Michaelis· 1 shared A.-D. Brunner· 1 shared B. B. Chhun· 1 shared B. Huang· 1 shared C. Gnann· 1 shared D. N. Itzhak· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCell Biology

H. Kobayashi

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Author profile →

2 papers

Recent·Most cited

OpenCell: proteome-scale endogenous tagging enables the cartography of human cellular organization

N. H. Cho, K. C. Cheveralls, A.-D. Brunner, K. Kim, A. C. Michaelis, P. Raghavan, H. Kobayashi, L. Savy, J. Y. Li, H. Canaj, J. Y. S. Kim, E. M. Setwart, C. Gnann, F. McCarthy, J. P. Cabrera, , M. D. Leonetti

The paper maps human protein localization and interactions using genome engineering, imaging, and data science, revealing functional communities and RNA-binding protein subgroups.

bioRxiv · Mar 29, 2021Cell Biology

Self-Supervised Deep-Learning Encodes High-Resolution Features of Protein Subcellular Localization

H. Kobayashi, K. C. Cheveralls, M. Leonetti, L. A. Royer

The paper introduces cytoself, a self-supervised deep-learning method for protein localization profiling, achieving higher clustering accuracy than existing approaches.

bioRxiv · Mar 29, 2021Cell Biology