Author

Fengling Chen

Tsinghua UniversityORCID 0000-0002-0841-4078Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 3 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Assay:Hi-C· 1

Frequent Co-Authors

Michael Q. ZhangiD· 2 shared Minglei ShiiD· 2 shared Yang CheniD· 2 shared Antony K. CheniD· 1 shared Bingjie Dong· 1 shared Bofeng LiuiD· 1 shared Dahai ZhuiD· 1 shared Guohong LiiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersGenomics

Michael Q. ZhangORCID

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Author profile →

3 papers

Recent·Most cited

Evaluation of ChIC-based data requires normalization that properly retains signal-to-noise ratios

Bofeng Liu, Fengling Chen, Wei Xie

The paper highlights a normalization issue in ChIC-based methods that distorts signal-to-noise ratios, leading to misleading results in open chromatin bias analysis.

bioRxiv · Aug 14, 2021 · PreprintBioinformatics

MyoD is a structure organizer of 3D genome architecture in muscle cells

Qian Chen, Fengling Chen, Ruiting Wang, Minglei Shi, Antony K. Chen, Zhao Ma, Guohong Li, Min Wang, Hu Li, Xu Zhang, Jinbiao Ma, Jiayun Zhong, Meihong Chen, Michael Q. Zhang, Yong Zhang, , Dahai Zhu

The paper shows MyoD organizes 3D genome architecture in muscle cells and demonstrates H3K27ac is insufficient for MyoD-induced chromatin loops.

bioRxiv · Aug 29, 2020 · PreprintGenomics

3D Genome Analysis Identifies Enhancer Hijacking Mechanism for High-Risk Factors in Human T-Lineage Acute Lymphoblastic Leukemia

Lu Yang, Fengling Chen, Haichuan Zhu, Yang Chen, Bingjie Dong, Minglei Shi, Weitao Wang, Qian Jiang, Le‐Ping Zhang, Xiao‐Jun Huang, Michael Q. Zhang, Hong Wu

The paper identifies 3D genome alterations and enhancer hijacking mechanisms in T-lineage acute lymphoblastic leukemia (T-ALL) using integrated analyses of 18 patients and 4 controls.

bioRxiv · Mar 11, 2020 · PreprintGenomics