Author

Lifang Liu

Xiamen UniversityORCID 0000-0003-1678-5511Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scATAC-seq· 1

Frequent Co-Authors

Danni Hong· 1 shared Falong LuiD· 1 shared Hongli Lin· 1 shared Jialiang HuangiD· 1 shared Jianwu DaiiD· 1 shared Mengsha Tong· 1 shared Muya Shu· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Danni Hong

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1 paper

Recent·Most cited

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

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