Author

Tingshan Liu

Johns Hopkins UniversityORCID 0000-0003-0232-2495Unclaimed 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:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1

Frequent Co-Authors

B. XuiD· 1 shared Eric BridgefordiD· 1 shared Jayanta K. DeyiD· 1 shared Joshua T VogelsteiniD· 1 shared Karl‐Heinz NenningiD· 1 shared Kyoungseob ByeoniD· 1 shared Samuel Alldritt· 1 shared Ting XuiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperNeuroscience

B. XuORCID

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1 paper

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

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