Author

Shizhuo Mu

Children's Hospital of Philadelphia

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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Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Charlly Kao· 1 shared Hakon H. HakonarsoniD· 1 shared Hui‐Qi QuiD· 1 shared Jiong CheniD· 1 shared Joe ChaniD· 1 shared Joost WagenaariD· 1 shared Kai WangiD· 1 shared Li SheniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Charlly Kao

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedMay 7, 2026

Single-Cell Omics for Transcriptome CHaracterization (SCOTCH): isoform-level characterization of gene expression through long-read single-cell RNA sequencing

Zhuoran Xu, Hui‐Qi Qu, Joe Chan…·Kai Wang

SCOTCH improves isoform-level gene expression characterization using long-read single-cell RNA sequencing by refining sub-exon boundaries and reducing false positives.

5 citations

humanscRNA-seq

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BioinformaticsbioRxivPreprintFeb 6, 2024

QOT: Efficient Computation of Sample Level Distance Matrix from Single-Cell Omics Data through Quantized Optimal Transport

Zexuan Wang, Qipeng Zhan, Shu Yang…·Li Shen

This paper introduces QOT, a method for efficiently computing sample-level distance matrices from single-cell omics data, showing improved accuracy and robustness over existing OT-based approaches.

3 citations

humanmouse

𝕏 PostBluesky