Author

R. Otto

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:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1

Frequent Co-Authors

A. Daigavane· 1 shared A. Duren-Lubanski· 1 shared A. Geraschenko· 1 shared A. Narayanaswamy· 1 shared B. Fischbacher· 1 shared B. Migliori· 1 shared B. Williams· 1 shared C. Bonilla· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

A. Daigavane

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2 papers

Recent·Most cited

Assembly of functional diversity in an oceanic island flora

M. P. Barajas Barbosa, D. Craven, P. Weigelt, P. Denelle, R. Otto, S. Diaz, J. Price, J. M. Fernandez-Palacios, H. Kreft

The paper analyzes the functional trait space of Tenerife's flora, finding that long-distance dispersal and speciation processes drive functional divergence, while cladogenesis leads to functional convergence.

bioRxiv · Mar 4, 2022Ecology

Integrating deep learning and unbiased automated high-content screening to identify complex disease signatures in human fibroblasts

L. Schiff, B. Migliori, Y. Chen, D. Carter, C. Bonilla, J. Hall, M. Fan, E. Tam, S. Ahadi, B. Fischbacher, A. Geraschenko, C. J. Hunter, S. Venugopalan, S. DesMarteau, A. Narayanaswamy, , Yang

This study develops a platform combining deep learning and high-content imaging to identify disease-specific phenotypes in Parkinson's fibroblasts, achieving high accuracy in distinguishing disease subtypes.

bioRxiv · Nov 13, 2020Cell Biology