Author

Feng Ding

Shenzhen Third People’s HospitalPrimary ORCID profile (0000-0003-1850-6336 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Feng DingiD3 papers · Clemson University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Bing HeiD· 1 shared Kun QianiD· 1 shared Peng CuiiD· 1 shared Qiang LiniD· 1 shared Rui QiniD· 1 shared Si LiuiD· 1 shared Wanfei LiuiD· 1 shared Wei FaniD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Bing HeORCID

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2 papers

Recent·Most cited

Exploration of the Roles of HLAs When Predicting Infection Status by T Cell Receptors

Feng Ding, Si Liu, Wei Sun

This study improves TCR-based infection prediction by incorporating HLA allele information, showing enhanced accuracy for certain HLA alleles and insights into their roles in infection.

bioRxiv · Nov 18, 2024 · PreprintBioinformatics

Deep Learning Driven Cell-Type-Specific Embedding for Inference of Single-Cell Co-expression Networks

Yuting Bai, Kun Qian, Qiang Lin, Wei Fan, Rui Qin, Bing He, Feng Ding, Wanfei Liu, Peng Cui

DeepCSCN infers cell-type-specific co-expression networks from scRNA-seq data, outperforming existing methods and identifying 280 cell-specific gene modules across 27 cell types.

bioRxiv · Aug 12, 2024 · PreprintBioinformatics