Author

Lingkuan Meng

City University of Hong KongORCID 0000-0003-0909-6849Unclaimed 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:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Jiecong LiniD· 2 shared Ka‐Chun WongiD· 2 shared Fuzhou WangiD· 1 shared Hamid Alinejad‐RoknyiD· 1 shared Hongyan SuniD· 1 shared Jixiang YuiD· 1 shared Ke ChengiD· 1 shared Kui Xu· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Jiecong LinORCID

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2 papers

Recent·Most cited

BioinformaticsAdvanced SciencePeer-reviewedApr 24, 2025

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny…·Xiangtao Li

scCAFE is a deep learning model that detects multi-scale chromatin architectural features in single-cell Hi-C data, outperforming existing methods and enabling cell-type annotation from 3D genome features.

4 citations

Hi-Cdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 3, 2024

UniPTM: Multiple PTM site prediction on full-length protein sequence

Lingkuan Meng, Jiecong Lin, Ke Cheng…·Ka‐Chun Wong

UniPTM predicts multiple PTM sites on full-length protein sequences without using sliding windows, outperforming existing models and providing interpretable results.

3 citations

protein sequencemachine learning (classical)

𝕏 PostBluesky