Author

Yin Shen

Huazhong Agricultural UniversityORCID 0000-0001-7002-4022Unclaimed ORCID profile · follow to get notified of new preprints

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Yin Shen6 papers · University of California, San Francisco

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Chenchen ZhuiD· 1 shared Emma MonteiD· 1 shared Han LiiD· 1 shared Hantao ShuiD· 1 shared Jasper Rubin-Sigler· 1 shared Jianyang ZengiD· 1 shared Jingtian ZhouiD· 1 shared Johnathan Cooper‐KnockiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperGenetics

Chenchen ZhuORCID

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2 papers

Recent·Most cited

Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases

Sai Zhang, Hantao Shu, Jingtian Zhou, Jasper Rubin-Sigler, Xiaoyu Jenny Yang, Yuxi Liu, Johnathan Cooper‐Knock, Emma Monte, Chenchen Zhu, Sharon Tu, Han Li, Mingming Tong, Joseph R. Ecker, Justin K. Ichida, Yin Shen, , Michael P. Snyder

This paper introduces scPRS, a deep learning model that deconvolves polygenic risk scores at the single-cell level to uncover cellular and molecular disease mechanisms in complex human diseases.

bioRxiv · May 14, 2024 · PreprintGenetics

CharPlant: A De Novo Open Chromatin Region (OCR) Prediction Tool for Plant Genomes

Yin Shen, Ling‐Ling Chen, Junxiang Gao

CharPlant predicts open chromatin regions in plant genomes using a CNN trained on DNase-seq and ATAC-seq data, demonstrating computational efficiency and whole-genome prediction capability.

Genomics Proteomics & Bioinformatics · Mar 1, 2021Peer-reviewedBioinformatics