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曾泽贤

 

曾泽贤

 

电子邮件: zexianzeng@pku(dot)edu(dot)cn

实验室主页http://cqb.pku.edu.cn/zenglab/

 

研究方向:

聚焦生物信息学与计算肿瘤免疫学,通过整合挖掘肿瘤基因组学与医疗数据,并结合机器学习方法研究肿瘤免疫及信号通路调控,揭示肿瘤免疫反应机理,旨在为临床免疫治疗成功率的提高提供新的靶向基因,为免疫调控基因的发现提供新的研究思路,为临床肿瘤用药提供新的方法。

创建多中心多类型数据整合及挖掘平台,为临床医疗及组学数据的共享及分析提拱解决方案,促进数据的二次分析、大样本生物标志物识别和跨平台组学学习,为精准医学提供有效的技术蓝图和研究框架。

  

代表性科研论文:

1.    Zeng Z*,#, Wong C*, Lin Y*, Li D, Zhang Y, Gu S, Zhang W, Kim S, Yates K, Freeman G, Brown M, Manguso R, Liu XS#: TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response. Nucleic Acids Research (2021) 10.1093

2.    Zeng Z*, Fu J*, Cibulskis C, Jhaveri A, Gumbs C, Das B, … & Liu XS#, Wu C#: Cross-site concordance evaluation of tumor DNA and RNA sequencing platforms for the CIMAC-CIDC network. Clinical Cancer Research. (2021).20.3251

3.    Kumar S*, Zeng Z*, Bagati A*, Tay Re*, Sanz L, Hartono SR, … & Liu XS#, Wucherpfennig K#: Carm1 inhibition enables immunotherapy of resistant tumors by dual action on tumor and T-cells. Cancer Discovery (2021). 20-1144

4.    Zhou L*, Zeng Z*, Egloff A, Zhang F, Guo F, Cambell K, Du P, … & Liu XS#, Uppaluri R#: Checkpoint blockade induced CD8+ T cell differentiation in responders in head and neck cancers. Journal for ImmunoTherapy of Cancer (2021). 10 (1), e004034

5.    Zeng Z, Vo A, Li X, Shidfar Ali, Saldana P, Xuei X, Luo Y, Khan AS, Clare SE: Somatic genetic aberrations in benign breast disease and the risk of subsequent breast cancer. npj Breast Cancer. (2020). 6(1),1-11

6.    Zeng Z, Amin A, Roy A, Pulliam N, Karavites L, Espino S, Li X, Luo Y, Khan AS: Preoperative magnetic resonance imaging and oncologic outcomes in premenopausal breast cancer patients. npj Breast Cancer. (2020). 6(1),1-8.

7.    Zeng Z, Fan Z, Xie X, Swartz C, DePriest P, Li J: A two-level iteration approach for modeling and analysis of rapid response process with multiple deteriorating patients. Flexible Service and Manufacturing. (2020). 1-37

8.    Zeng Z, Mao C, Vo A, Li X, Nugene J, Khan AS, Clare SE, Luo Y: Deep learning for cancer type classification and driver gene identification. BMC Bioinformatics. (2020) (18)1

9.    Zeng Z, Vo A, Mao C, Clare S, Khan S, Luo Y: Cancer classification and pathway discovering using non-negative matrix factorization. Journal of Biomedical Informatics. (2019): 103247

10.  Zeng Z, Yao L, Roy A, Li X, Espino S, Clare S, Khan S, Luo Y: Identifying breast cancer distant recurrence from electronic health records using machine learning. Journal of Healthcare Informatics Research. (2019). 1-17

11.  Zeng Z, Xie X, Menaker H, Sanford-Ring SG, Li J: Performance evaluation of operating room schedules in orthopedic surgery. Flexible Services and Manufacturing. (2018), 30(1-2):198-223.

12.  Zeng Z, Deng Y, Li X, Naumann T, Luo Y: Natural language processing for EHR-based computational phenotyping. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (2018):1-1

13.  Zeng Z, Espino S, Roy A, Li X, Khan S, Clare S, Jiang X, Neapolitan R, Luo Y: Using natural language processing and machine learning to identify breast cancer local recurrence. BMC Bioinformatics. (2018), 19(Suppl 17):498

14.  Zeng Z, Jiang X, Neapolitan R: Discovering causal interactions using Bayesian network scoring and information gain. BMC bioinformatics, (2016), 17(1):1. 

 

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