Author

E. Payne

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 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

A. Lubin· 1 shared A. Sayadi· 1 shared A. Sih· 1 shared B. Bagchi· 1 shared B. T. Hirsch· 1 shared C. H. Fleming· 1 shared D. Banerji· 1 shared D. Berger· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperCell Biology

A. Lubin

Author profile →

3 papers

Recent·Most cited

Estimating encounter location distributions from animal tracking data

M. J. Noonan, R. Martinez-Garcia, G. H. Davis, M. C. Crofoot, R. Kays, B. T. Hirsch, E. Payne, A. Sih, D. L. Sinn, O. Spiegel, W. F. Fagan, C. H. Fleming, J. Calabrese

This paper introduces a new theoretical framework to estimate encounter location probabilities from animal tracking data and demonstrates its application using GPS data from capuchins and lizards.

Methods in Ecology and Evolution · May 14, 2021Peer-reviewedEcology

Sexual conflict drives micro- and macroevolution of sexual dimorphism in immunity

B. Bagchi, Q. Corbel, I. Khan, E. Payne, D. Banerji, J. Liljestrand-Ronn, I. Martinossi-Allibert, J. Baur, A. Sayadi, E. Immonen, G. Arnqvist, I. Soderhall, D. Berger

This study shows that sexual conflict influences sexual dimorphism in immunity through molecular and phenotypic changes in seed beetles.

bioRxiv · Dec 20, 2020Evolutionary Biology

A versatile automated high-throughput drug screening platform for zebrafish embryos

A. Lubin, J. Otterstrom, Y. Hoade, I. Bjedov, E. Stead, M. Whelan, G. Gestri, Y. Paran, E. Payne

The paper develops an automated high-throughput drug screening platform for zebrafish embryos using AI-driven image analysis and validation through GFP-tagged cell counts and genetic mutation assessments.

bioRxiv · Dec 16, 2020Cell Biology