Author

Tristen Jay Mier

Indiana University BloomingtonORCID 0000-0002-9251-4599Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Amanda Essex· 1 shared Anna KalinovskyiD· 1 shared Brent Caleb McPhersoniD· 1 shared Brynna WebbiD· 1 shared Franco PestilliiD· 1 shared John Hainline· 1 shared Ken MackieiD· 1 shared Kylie BlackiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Amanda Essex

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1 paper

Recent·Most cited

Deep learning and cross-species analysis identify the influences of sex and cannabinoidsignaling on cerebellar vermis morphology

Kylie Black, O.P. Pandey, Brent Caleb McPherson, John Hainline, Shawyon Baygani, Brynna Webb, Tristen Jay Mier, Amanda Essex, Ken Mackie, Franco Pestilli, Anna Kalinovsky

The paper uses deep learning to analyze cerebellar morphology across species, finding sex and cannabinoid signaling influence folding patterns.

bioRxiv · Jul 3, 2021 · PreprintNeuroscience