Author

Sen Lin

University of Nottingham Ningbo ChinaORCID 0000-0002-6371-3927Unclaimed 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:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

F. Li· 1 shared Gareth J. McKayiD· 1 shared Jianhui LiuiD· 1 shared Lie CheniD· 1 shared Luning YangiD· 1 shared Qi PaniD· 1 shared Quanyong YiiD· 1 shared Richard RankiniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

F. Li

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1 paper

Recent·Most cited

BioinformaticsOphthalmology SciencePeer-reviewedJan 7, 2026

Interpretable Aging Signatures in Human Retinal Cell Types Revealed by Single-Cell RNA Sequencing and Sparse Logistic Regression

Luning Yang, Sen Lin, Yiwen Tao…·Weihua Meng

The paper identifies cell-type-specific aging signatures in human retinal cells using single-cell RNA sequencing and machine learning, revealing molecular changes and vulnerabilities associated with aging.

2 citations

humanscRNA-seq

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