Author

Xingyan Liu

Chinese Academy of SciencesORCID 0000-0002-9509-3259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Shihua ZhangiD· 2 shared Bingyu MaoiD· 1 shared Chencheng Yang· 1 shared Huishan WangiD· 1 shared Nengyin ShengiD· 1 shared Pengcheng MaiD· 1 shared Qunlun SheniD· 1 shared Xiaomei Yu· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersDevelopmental Biology

Shihua ZhangORCID

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2 papers

Recent·Most cited

Developmental BiologyeLifePeer-reviewedNov 11, 2024

The E3 ubiquitin ligase RNF220 maintains hindbrain Hox expression patterns through regulation of WDR5 stability

Huishan Wang, Xingyan Liu, Yamin Liu…·Pengcheng Ma

This study shows that RNF220 regulates WDR5 stability to maintain Hox gene expression patterns in the mouse hindbrain, with implications for pons development.

3 citations

mousebulk RNA-seq

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BioinformaticsGenome ResearchPeer-reviewedJan 1, 2023

Cross-species cell-type assignment of single-cell RNA-seq by a heterogeneous graph neural network

Xingyan Liu, Qunlun Shen, Shihua Zhang

This paper introduces CAME, a heterogeneous graph neural network for cross-species cell-type assignment in scRNA-seq data, showing improved performance and revealing evolutionary patterns.

56 citations

humanmouse

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