Author

Ke-Xu Xiong

BGI Group (China)

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 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Cong LiniD· 1 shared Guibo LiiD· 1 shared Guo-Yun Wang· 1 shared Hanlin ZhouiD· 1 shared Huanming YangiD· 1 shared Jianhua YiniD· 1 shared Karsten KristianseniD· 1 shared Ling Kui· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperBioinformatics

Cong LinORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 5, 2026

LCN2+ Astrocytes Mark a Pro-inflammatory Astrocyte State Associated with Secondary Brain Injury After Cerebral Venous Thrombosis

Ling Kui, Si-Wei Zhou, Yin-Ming Jiao…·Yan-Qing Zhou

DOI 10.64898/2026.11.04.764144

𝕏 PostBluesky

BioinformaticsCommunications BiologyPeer-reviewedMay 30, 2022

Chord: Identifying Doublets in Single-Cell RNA Sequencing Data by an Ensemble Machine Learning Algorithm

Ke-Xu Xiong, Hanlin Zhou, Cong Lin…·Guibo Li

Chord improves doublet detection in scRNA-seq by combining multiple methods, showing higher accuracy and stability across different datasets.

17 citations

scRNA-seqmachine learning (classical)

𝕏 PostBluesky