Author

Camila Quiroga

University of Rhode Island

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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Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Alexandra Mukisa· 1 shared Brendan C. Moline· 1 shared Cassandra A. Kramer· 1 shared Christine J. DiDonatoiD· 1 shared Destiny Sanders· 1 shared Elian Gonzalez· 1 shared Elvia Mena Avila· 1 shared Emily J. ReedichiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alexandra Mukisa

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Author profile →

1 paper

Recent·Most cited

A novel machine-learning classification model detects oxidative fiber type transitions in a rabbit model of cerebral palsy

Cassandra A. Kramer, Emily J. Reedich, Hope McCann, Sadie Drouin, Destiny Sanders, Elian Gonzalez, Tiffany Ung, Alexandra Mukisa, Elvia Mena Avila, Brendan C. Moline, Landon T. Genry, Jess Glennon, Camila Quiroga, Lisa Dowaliby, Christine J. DiDonato, , Marin Manuel

This paper develops a machine-learning model to classify muscle fiber types in a rabbit model of cerebral palsy, finding oxidative fiber type shifts in affected muscles.

bioRxiv · Jun 14, 2026 · PreprintNeuroscience