Author

Fang Ye

University of Electronic Science and Technology of China

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Anastasia Ngozi Ezemaduka· 1 shared Bing ZhangiD· 1 shared Bo XianiD· 1 shared Daosheng Huang· 1 shared Guoji GuoiD· 1 shared Guojun LiiD· 1 shared H. J. YangiD· 1 shared Haide Chen· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperSystems Biology

Anastasia Ngozi Ezemaduka

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Author profile →

3 papers

Recent·Most cited

MimicNeoAI: An integrated pipeline for identifying microbial epitopes and mimicry of tumor neoepitopes

Tao Chen, Wei Wang, Xiao Zuo, Yuxin Zhang, Zhilei Li, Ya-Ling He, Yanfei Zhou, Fang Ye, Bing Zhang, Qionghui Jiang, Huimin Liu, Lu Zhang, Jinman Fang, Yuanwei Zhang

MimicNeoAI identifies microbial epitopes and their tumor neoepitope mimics from sequencing data, revealing highly immunogenic microbial epitopes specific to tumors.

bioRxiv · Jun 13, 2025 · PreprintBioinformatics

ElixirSeeker: A Machine Learning Framework Utilizing Attention-Driven Fusion of Molecular Fingerprints for the Discovery of Anti-Aging Compounds

Yan Pan, Hongxia Cai, Fang Ye, Wentao Xu, Zhihang Huang, Jingyuan Zhu, Yiwen Gong, Yutong Li, Anastasia Ngozi Ezemaduka, Shan Gao, Shunqi Liu, Guojun Li, Hao Li, H. J. Yang, Junyu Ning, Bo Xian

ElixirSeeker uses attention-driven fusion of molecular fingerprints to identify anti-aging compounds, finding four that extend C. elegans lifespan.

bioRxiv · Sep 8, 2024 · PreprintSystems Biology

Mapping Human Hematopoietic Hierarchy At Single Cell Resolution By Microwell-seq

Shujing Lai, Yang Xu, Wentao Huang, Mengmeng Jiang, Haide Chen, Fang Ye, Renying Wang, Yunfei Qiu, Xinyi Jiang, Daosheng Huang, Jie Mao, Yanwei Li, Yingru Lu, Jin Xie, Qun Fang, , Guoji Guo

The paper develops Microwell-seq, a high-throughput scRNA-seq platform, to construct a single-cell resolution transcriptome atlas of human hematopoietic differentiation, revealing a revised hierarchy without oligopotent progenitors.

bioRxiv · Apr 13, 2017 · PreprintCell Biology