Author

Bingyu Zhao

Virginia TechORCID 0000-0001-5080-7126Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Haidong YaniD· 1 shared Jiyoung LeeiD· 1 shared John SchiefelbeiniD· 1 shared Qi LiiD· 1 shared Qi SongiD· 1 shared Song LiiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Haidong YanORCID

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1 paper

Recent·Most cited

BioinformaticsNew PhytologistPeer-reviewedFeb 24, 2022

Identification of new marker genes from plant single-cell RNA-seq data using interpretable machine learning methods

Haidong Yan, Jiyoung Lee, Qi Song…·Song Li

The paper introduces SPmarker, an interpretable machine learning pipeline to identify new cell-type marker genes in Arabidopsis root single-cell RNA-seq data, finding hundreds of novel markers and expanding trichoblast markers across species.

34 citations

ArabidopsisscRNA-seq

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