Author

Teng Fei

Northeastern UniversityPrimary ORCID profile (0000-0001-7888-1715 · 11 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Teng FeiiD11 papers · Memorial Sloan Kettering Cancer Center

Biology Disciplines

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Bioinformatics· 2 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:CRISPR screen· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:Hi-C· 1 Organism:human· 1

Frequent Co-Authors

Alexander Wu· 1 shared An Liu· 1 shared Andrew P. McMahoniD· 1 shared Ariel C. VonkiD· 1 shared Bálint DériD· 1 shared Biao HuangiD· 1 shared Brendan H. GrubbsiD· 1 shared Chennan C. Zhang· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperBioinformatics

Alexander Wu

Author profile →

3 papers

Recent·Most cited

Harmonizing single cell 3D genome data with STARK and scNucleome

Wen-Jie Jiang, Kangwen Cai, Sun Yuanchen, An Liu, H P Zhu, RuiXiang Gao, Chunge Zhong, Nana Wei, Futing Lai, Teng Fei, Yujuan Wang, Xiaoqi Zheng, Ming Xu, Hua‐Jun Wu

The paper introduces STARK, a toolkit for processing sc3DG-seq data, benchmarks 11 technologies, and establishes scNucleome as a resource for 3D genome research.

Genome biology · Jan 21, 2026Peer-reviewedBioinformatics

Modeling kidney development, disease, and plasticity with clonal expandable nephron progenitor cells and nephron organoids

Biao Huang, Zipeng Zeng, Hui Li, Zexu Li, Xi Chen, Jinjin Guo, Chennan C. Zhang, Megan E. Schreiber, Ariel C. Vonk, Tianyuan Xiang, Tadrushi Patel, Yidan Li, Riana K. Parvez, Bálint Dér, Jyun Hao Chen, , Zhongwei Li

This paper develops a synthetic niche to expand nephron progenitor cells, enabling organoid generation and CRISPR screening for kidney development and disease.

bioRxiv · May 25, 2023 · PreprintDevelopmental Biology

Reducing False Positives in CRISPR/Cas9 Screens from Copy Number Variations

Alexander Wu, Tengfei Xiao, Teng Fei, X. Shirley Liu, Wei Li

This paper develops methods to reduce false positives in CRISPR/Cas9 screens caused by copy number variations, improving screening accuracy.

bioRxiv · Jan 11, 2018 · PreprintBioinformatics