Author

J. Oshima

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· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Keuroghlian· 1 shared A. R. Mendenhall· 1 shared A. Rodgers· 1 shared B. Strickland· 1 shared C. Prokopenko· 1 shared D. Bernasconi· 1 shared D. Keiter· 1 shared E. Vander Wal· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperEcology

A. Keuroghlian

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Author profile →

2 papers

Recent·Most cited

Oxidative Stress Induced Senescence Gives Rise to Transcriptionally Distinct Physiological States

N. Burnaevskiy, J. Oshima, A. R. Mendenhall

The paper uses single-cell RNA-sequencing to identify two distinct transcriptional states in oxidative stress-induced senescent cells and suggests combination senolytic drugs may be needed.

bioRxiv · May 18, 2022 · PreprintCell Biology

Solving the Sample Size Problem for Resource Selection Analysis

G. M. Street, J. R. Potts, L. Borger, J. Beasley, S. Demarais, J. M. Fryxell, P. McLoughlin, K. Monteith, C. Prokopenko, M. Ribeiro, A. Rodgers, B. Strickland, F. Van Beest, D. Bernasconi, L. Beumer, , E. Vander Wal

This paper provides mathematical expressions to determine optimal sample sizes for resource selection analyses, showing that fewer data may be sufficient for strong selection effects.

bioRxiv · Feb 22, 2021 · PreprintEcology