Author

Qinhuan Luo

Tsinghua UniversityORCID 0000-0001-8011-4136Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:imputation· 1

Frequent Co-Authors

Tianying WangiD· 1 shared Xun LaniD· 1 shared Yaozhu Chen· 1 shared Yongzhen Yu· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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4 top collaborators · 2 mutual co-author links

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1 shared paperBioinformatics

Tianying WangORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedNov 19, 2025

Denoising Single-Cell RNA-Seq Data with a Deep Learning-Embedded Statistical Framework

Qinhuan Luo, Yongzhen Yu, Tianying Wang

ZILLNB denoises and imputes scRNA-seq data by combining zero-inflated negative binomial regression with deep generative modeling, improving gene expression accuracy and subpopulation identification.

6 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBMC BiologyPeer-reviewedAug 7, 2024

COMSE: Analysis of Single-Cell RNA-seq Data Using Community Detection Based Feature Selection

Qinhuan Luo, Yaozhu Chen, Xun Lan

COMSE improves scRNA-seq analysis by selecting informative genes via community detection, enhancing clustering and distinguishing biological variation from batch effects.

5 citations

scRNA-seqstatistical model

𝕏 PostBluesky