Author

Hao Wen

Beihang UniversityORCID 0000-0002-8856-0883Unclaimed ORCID profile · follow to get notified of new preprints

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Hao Wen1 paper

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Bahetibieke TuohetaerbaikeiD· 1 shared Chunlai JiangiD· 1 shared Cuidan LiiD· 1 shared Fei CheniD· 1 shared Guang LiuiD· 1 shared Hairong HuangiD· 1 shared Haitao NiuiD· 1 shared Haoyu WangiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

Bahetibieke TuohetaerbaikeORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJul 15, 2024

Single-Cell and Spatial Transcriptomic Analyses Deciphering the Three-Layer Architecture of Human Tuberculosis Granulomas

Yu Xia, Jie Wang, Peihan Wang…·Fei Chen

This study uses single-cell and spatial transcriptomics to analyze human tuberculosis granulomas, revealing a three-layer structure and identifying potential therapeutic targets.

5 citations

BioinformaticsBMC BioinformaticsPeer-reviewedJul 23, 2021

neoDL: A novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival

Ting Sun, Yufei He, Wendong Li…·Jing Zhang

6 citations

humanbulk RNA-seq