Author

Qinglin Mei

Shandong University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Guojun LiiD· 2 shared Di LiiD· 1 shared Zhengchang SuiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Guojun LiORCID

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2 papers

Recent·Most cited

Clustering scRNA-seq data via qualitative and quantitative analysis

Di Li, Qinglin Mei, Guojun Li

This paper introduces a novel clustering algorithm for scRNA-seq data, scQA, which outperforms existing tools in accuracy and efficiency across multiple datasets.

bioRxiv · Mar 25, 2023 · PreprintBioinformatics

Clustering single-cell RNA-seq data by rank constrained similarity learning

Qinglin Mei, Guojun Li, Zhengchang Su

This paper introduces a clustering algorithm for scRNA-seq data that improves accuracy by combining local and global similarity measures, outperforming existing methods on benchmark datasets.

Bioinformatics · Apr 23, 2021Peer-reviewedBioinformatics