Author

Yin He

China Pharmaceutical UniversityORCID 0000-0002-5490-2611Unclaimed 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:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Li Zhao· 1 shared Rongzhuo LongiD· 1 shared Xiaosheng WangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Li Zhao

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1 paper

Recent·Most cited

BioinformaticsInterdisciplinary Sciences Computational Life SciencesPeer-reviewedJan 28, 2026

Inferring phenotypes of single cells based on the expression profiles of phenotype-associated marker genes in bulks and single cells

Yin He, Rongzhuo Long, Li Zhao, Xiaosheng Wang

The paper introduces ScPP, an algorithm that infers single-cell phenotypes using bulk and single-cell marker gene expression profiles, showing improved performance over existing methods.

1 citation

humanbulk RNA-seq

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