Author

Jayanta K. Dey

Johns Hopkins UniversityORCID 0000-0002-6713-7402Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Eric BridgefordiD· 2 shared Joshua T VogelsteiniD· 2 shared B. XuiD· 1 shared Brian C. Caffo· 1 shared Cameron CraddockiD· 1 shared Carey E. PriebeiD· 1 shared Carlo ColantuoniiD· 1 shared Christopher Blair DouvilleiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersNeuroscience

Eric BridgefordORCID

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2 papers

Recent·Most cited

NeurosciencePLoS ONEPeer-reviewedApr 16, 2026

Statistically valid explainable black-box machine learning: applications in sex classification across species using brain imaging

Tingshan Liu, Jayanta K. Dey, B. Xu…·Joshua T Vogelstein

This paper develops a framework combining Oblique Random Forests and NEOFIT for sex classification in brain imaging across species, achieving high accuracy and interpretable feature importance.

DOI 10.1371/journal.pone.0346575

humannon-human primate

NeurosciencebioRxivPreprintJul 24, 2021

Eliminating accidental deviations to minimize generalization error and maximize replicability: applications in connectomics and genomics

Eric Bridgeford, Shangsi Wang, Zhi Yang…·Joshua T Vogelstein

This paper introduces a new statistic called discriminability to improve replicability by distinguishing accidental from systematic deviations in data, showing its effectiveness in both simulated and real datasets.

22 citations

statistical modelbenchmarking