Author

Fan Wu

Capital Medical UniversityORCID 0000-0001-9256-0176Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Fan Wu8 papers · Johns Hopkins University

Biology Disciplines

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Genomics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Tao JiangiD· 3 shared Fan ZengiD· 2 shared Guanzhang LiiD· 2 shared Jing CheniD· 2 shared Kenan ZhangiD· 2 shared Qiangwei WangiD· 2 shared Ruichao ChaiiD· 2 shared Wei ZhangiD· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenomics

Tao JiangORCID

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3 papers

Recent·Most cited

Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data for Chinese Glioma Patients

Zheng Zhao, Kenan Zhang, Qiangwei Wang, Guanzhang Li, Fan Zeng, Ying Zhang, Fan Wu, Ruichao Chai, Zheng Wang, Chuanbao Zhang, Wei Zhang, Zhaoshi Bao, Tao Jiang

The paper introduces the Chinese Glioma Genome Atlas (CGGA), a resource providing genomic and clinical data for glioma patients, along with analysis tools for data exploration and research.

Genomics Proteomics & Bioinformatics · Feb 1, 2021Peer-reviewedGenomics

Extensive MET alterations confer clinical response to MET inhibitors in gliomas

Zheng Zhao, Jing Chen, Zhaoshi Bao, Ruichao Chai, Kenan Zhang, Lingxiang Wu, Hanjie Liu, Quanhua Mu, Huimin Hu, Fan Zeng, Zheng Wang, Guanzhang Li, Yuanhao Chang, Qiangwei Wang, Fan Wu, , Tao Jiang

This study identifies MET gene alterations in gliomas and shows that these alterations are associated with better response to MET inhibitors.

bioRxiv · Nov 2, 2020 · PreprintNeuroscience

Surveying Brain Tumor Heterogeneity by Single-Cell RNA Sequencing of Multi-sector Biopsies

Kai Yu, Yuqiong Hu, Fan Wu, Qiufang Guo, Zenghui Qian, Waner Hu, Jing Chen, Kuanyu Wang, Xiaoying Fan, Xinglong Wu, John E.J. Rasko, Xiaolong Fan, Antonio Iavarone, Tao Jiang, Fuchou Tang, Xiaodong Su

This study uses single-cell RNA sequencing on multi-sector glioma biopsies to analyze tumor heterogeneity, revealing spatial patterns of invasion, progression branches, and cell-cell communication.

National Science Review · May 29, 2020Peer-reviewedGenomics