Author

Yin Peng

BGI Group (China)ORCID 0000-0001-9649-249XUnclaimed 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· 2 Approach:diffusion model· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:protein sequence· 1

Frequent Co-Authors

Chao ZhangiD· 1 shared Haishan ZhangiD· 1 shared Haopeng Xia· 1 shared Hongchang LiiD· 1 shared Huiling ZhangiD· 1 shared Konda Mani SaravananiD· 1 shared Ximing ShaoiD· 1 shared Yanjie WeiiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperGenomics

Chao ZhangORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintOct 28, 2025

DomDiff: protein family and domain annotation via diffusion model and ESM2 embedding

Chao Zhang, Haopeng Xia, Yin Peng

DomDiff improves domain boundary identification and classification using a diffusion model with ESM2 embeddings, outperforming existing methods and excelling in rare families.

DOI 10.1101/2025.10.28.685005

protein sequencediffusion model

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedDec 26, 2019

A novel machine learning based approach for iPS progenitor cell identification

Haishan Zhang, Ximing Shao, Yin Peng…·Yanjie Wei

This paper develops a machine learning model to identify iPS progenitor cells using microscopic image analysis, achieving over 52% precision in detecting these rare cells during early reprogramming.

43 citations

mouseimaging

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