Author

Muya Shu

Chinese Academy of Sciences

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· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:Hi-C· 1 Organism:human· 1

Frequent Co-Authors

Falong LuiD· 2 shared Bo GouiD· 1 shared Danni Hong· 1 shared Hongli Lin· 1 shared Jialiang HuangiD· 1 shared Jianwu DaiiD· 1 shared Lifang LiuiD· 1 shared Mengsha Tong· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenetics

Falong LuORCID

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2 papers

Recent·Most cited

Embryo spatial 3D genomics

Yuang Ma, Bo Gou, Yuetong Xu, Muya Shu, Falong Lu, Xiang Li

A spatial 3D genomics approach was developed to analyze hierarchical chromatin conformation in situ in tissue sections, revealing organ-specific and conserved chromatin interactions.

bioRxiv · May 7, 2024 · PreprintGenetics

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysis

Danni Hong, Hongli Lin, Lifang Liu, Muya Shu, Jianwu Dai, Falong Lu, Mengsha Tong, Jialiang Huang

The paper introduces eNet, a method to build enhancer networks from single-cell data, showing complex networks regulate cell identity and disease genes better than existing models.

Briefings in Bioinformatics · Oct 25, 2022Peer-reviewedBioinformatics