Author

Heyang Hua

Nankai UniversityORCID 0009-0006-7754-7006Unclaimed 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:batch correction / integration· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Shengquan CheniD· 2 shared Chaoyang YaniD· 1 shared Chengwei Yan· 1 shared Hongyu Su· 1 shared Jian LiuiD· 1 shared Jiuxin Feng· 1 shared Pingjing LiiD· 1 shared Rufeng LiiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Shengquan ChenORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Advanced ResearchPeer-reviewedMay 1, 2026

CSFeatures improves identification of cell type-specific differential features in single-cell and spatial omics data

Rufeng Li, Yongkang Li, Heyang Hua…·Yungang Xu

CSFeatures identifies cell type-specific differential features in single-cell and spatial omics data by considering expression levels, smoothness, and proportion across cell populations.

DOI 10.1016/j.jare.2026.05.027

humanscRNA-seq

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BioinformaticsNature CommunicationsPeer-reviewedJul 25, 2025

Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning

Chengwei Yan, Yu Zhang, Jiuxin Feng…·Shengquan Chen

The paper introduces cpDistiller, a method to correct three technical effects in Cell Painting data using contrastive and domain-adversarial learning, improving analysis reliability and phenotypic response detection.

4 citations

imagingcontrastive learning

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