Author

Fei Qiu

Wenzhou Medical UniversityORCID 0000-0002-5040-8018Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Chunyu Deng· 3 shared Jianzhong SuiD· 3 shared Yaru ZhangiD· 3 shared Yijun ZhouiD· 3 shared Yunlong MaiD· 3 shared Dingping Jiang· 2 shared Gongwei Zheng· 2 shared Jia QuiD· 2 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Chunyu Deng

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Integration of human organoids single-cell transcriptomic profiles and human genetics repurposes critical cell type-specific drug targets for severe COVID-19

Yunlong Ma, Yijun Zhou, Dingping Jiang, Wei Dai, Jinɡjinɡ Li, Chunyu Deng, Chen Cheng, Gongwei Zheng, Yaru Zhang, Fei Qiu, Haojun Sun, Shilai Xing, Haijun Han, Jia Qu, Nan Wu, , Jianzhong Su

The paper integrates human organoid scRNA-seq data with GWAS and gene-drug interaction data to identify cell type-specific drug targets for severe COVID-19.

Cell Proliferation · Oct 8, 2023Peer-reviewedGenetic & Genomic Medicine

Polygenic regression uncovers trait-relevant cellular contexts through pathway activation transformation of single-cell RNA sequencing data

Yunlong Ma, Chunyu Deng, Yijun Zhou, Yaru Zhang, Fei Qiu, Dingping Jiang, Gongwei Zheng, Jingjing Li, Jianwei Shuai, Yan Zhang, Jian Yang, Jianzhong Su

The paper introduces scPagwas, a method that integrates pathway activation transformation of scRNA-seq data with GWAS summary statistics to identify trait-relevant cell populations and pathways.

Cell Genomics · Aug 18, 2023Peer-reviewedGenetic & Genomic Medicine

Single cell sequencing analysis uncovers genetics-influenced CD16+monocytes and memory CD8+T cells involved in severe COVID-19

Yunlong Ma, Fei Qiu, Chunyu Deng, Jingjing Li, Yukuan Huang, Zeyi Wu, Yijun Zhou, Yaru Zhang, Yichun Xiong, Yinghao Yao, Yigang Zhong, Jia Qu, Jianzhong Su

The paper integrates GWAS and scRNA-seq data to identify genetics-influenced immune cell subpopulations associated with severe COVID-19, highlighting key cell types and genes involved in disease severity.

Genome Medicine · Feb 16, 2022Peer-reviewedGenetic & Genomic Medicine