Author

Fei Tang

BGI Group (China)ORCID 0000-0003-1475-5028Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Assay:ChIP-seq· 1

Frequent Co-Authors

Bei-Ping Li· 1 shared Biao ZhangiD· 1 shared Bin SuiD· 1 shared Bin ZouiD· 1 shared Bing SuiD· 1 shared Chao CheniD· 1 shared Chen W. JiangiD· 1 shared Chonghai Yin· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Bei-Ping Li

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 13, 2021

PSEA: A phenotypic similarity ensemble approach for prioritizes candidate genes to aid mendelian disease diagnosis

Zhonghua Wang, Lipei Liu, Chao Chen…·Zhiyu Peng

PSEA prioritizes candidate genes for mendelian disease diagnosis by improving phenotypic similarity evaluation using HPO terms and showing better performance than existing methods.

DOI 10.1101/2021.10.13.464308

statistical modelgene regulatory network inference

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 29, 2020

Large-scale single-cell analysis reveals critical immune characteristics of COVID-19 patients

Xianwen Ren, Wen Wen, Xiaoying Fan…·Zemin Zhang

This study uses single-cell RNA sequencing to analyze immune responses in COVID-19 patients, identifying key immune cell changes and molecular pathways linked to disease severity.

4 citations

humanscRNA-seq

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BioinformaticsFrontiers in GeneticsPeer-reviewedJun 30, 2020

Genome-wide Identification and Analysis of Enhancer Regulated microRNAs Across 31 Human Cancers

Fei Tang, Yin Zhang, Qingqing Huang…·Zhiyun Guo

The paper identifies enhancer-regulated microRNAs across 31 cancers and finds tissue-specific interactions and correlations with eRNA expression and histone modifications.

8 citations

humanDNA methylation

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