Author

Yu Lu

West China Hospital of Sichuan UniversityORCID 0009-0003-8520-4722Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yu Lu6 papers · McMaster University

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1

Frequent Co-Authors

Fengxiao BuiD· 2 shared Akshatha GanneiD· 1 shared Chao LiuiD· 1 shared Chao WangiD· 1 shared Guanglin HeiD· 1 shared Huang SuiD· 1 shared Hui GuoiD· 1 shared Huijun YuaniD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Fengxiao BuORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 31, 2025

Zolpidem restores sleep and slows Alzheimer's progression in a mouse model

Yu Lu, Shinya Yokomizo, Tri Huu Doan…·Ksenia V. Kastanenka

Zolpidem improves NREM sleep and reduces Alzheimer's progression in young APP/PS1 mice by restoring sleep rhythms and reducing amyloid plaques.

2 citations

mouseexperimental assay

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Genetic & Genomic MedicinemedRxivPreprintAug 26, 2025

Whole-Genome Sequencing Pilot Study of the Central Asian Genetic Diversity Project Reveals Distinct Genetic Histories, Adaptive Processes, and Introgression Events

Guanglin He, Huang Su, Qiuxia Sun…·Mengge Wang

This study uses whole-genome sequencing of Central Asians to reveal genetic diversity, admixture events, and adaptive processes shaping their demographic history and medical relevance.

1 citation

humanwhole-genome sequencing

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BioinformaticsbioRxivPreprintDec 16, 2021

seGMM: a new tool to infer sex from massively parallel sequencing data

Sihan Liu, Yuanyuan Zeng, Meilin Chen…·Fengxiao Bu

seGMM infers sex from sequencing data with >99% accuracy, outperforming existing tools by incorporating Y chromosome features.

DOI 10.1101/2021.12.16.472877

humanwhole-exome sequencing

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