Author

Yiming Bian

Princeton UniversityORCID 0000-0002-8725-3603Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Daniel PromislowiD· 1 shared Elinor K. KarlssoniD· 1 shared Joshua M. AkeyiD· 1 shared Noah Snyder‐MackleriD· 1 shared Rob BiermaniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Daniel PromislowORCID

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1 paper

Recent·Most cited

An interpretable machine learning framework for dog breed inference and ancestry decomposition

Yiming Bian, Rob Bierman, Noah Snyder‐Mackler, Daniel Promislow, Elinor K. Karlsson, Joshua M. Akey

This paper introduces an interpretable machine learning framework to infer dog breeds from genomic data, achieving high accuracy and identifying key genetic variants.

bioRxiv · Jun 4, 2026 · PreprintBioinformatics