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

GeneticsbioRxivPreprintMay 7, 2024

Embryo spatial 3D genomics

Yuang Ma, Bo Gou, Yuetong Xu…·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.

2 citations

mouseHi-C

𝕏 PostBluesky

BioinformaticsBriefings in BioinformaticsPeer-reviewedOct 25, 2022

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

Danni Hong, Hongli Lin, Lifang Liu…·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.

15 citations

humanmouse

𝕏 PostBluesky