Author

Peng Bao

Peking UniversityPrimary ORCID profile (0000-0001-5612-8749 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Peng BaoiD1 paper · Chinese Academy of Sciences

Biology Disciplines

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Genetics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:diffusion model· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Bin DongiD· 1 shared Fangxu ZhouiD· 1 shared Guanghui Xue· 1 shared Guosheng SuiD· 1 shared Hongding GaoiD· 1 shared Jianbin LiiD· 1 shared Jun Mo YangiD· 1 shared Li Yang· 1 shared

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2019-2025 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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1 shared paperPathology

Bin DongORCID

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2 papers

Recent·Most cited

Versatile Stain Transfer in Histopathology Using a Unified Diffusion Framework

Xudong Yan, Mingze Yuan, Yao Lu, Ying Zhang, Zifan Chen, Peng Bao, Zehua Li, Bin Dong, Li Yang, Li Zhang, Fangxu Zhou

This paper introduces DUST, a diffusion model for histopathology stain transfer, showing improved performance over GAN-based methods on a kidney histopathological dataset.

IEEE International Symposium on Biomedical Imaging (ISBI) · Apr 14, 2025Peer-reviewedPathology

Comparison of different orders of Legendre polynomials in random regression model for estimation of genetic parameters and breeding values of milk yield in the Chinese Holstein population

Jianbin Li, Hongding Gao, Per Madsen, Wenhao Liu, Peng Bao, Guanghui Xue, Jun Mo Yang, Yundong Gao, Guosheng Su

The paper compares Legendre polynomial orders in random regression models for genetic evaluation of milk yield in Chinese Holstein cattle, finding third-order polynomials with heterogeneous residual variance provide the best fit and predictive ability.

bioRxiv · Feb 27, 2019 · PreprintGenetics