Yan Hou

Assistant professor
houyan@bjmu.edu.cn
38 College Road, Beijing, China, 100191
Peking University

Personal profile

Hou Yan, Ph.D., Associate Researcher, Doctoral supervisor, postdoctoral supervisor, Department of Biostatistics, Peking University Health Science Center, China. She is currently a member of many organizations, including the Standing Committee and Vice Chairman of the Youth Committee of the Biostatistics Branch of the Chinese Preventive Medical Association, the Standing Committee of Health Insurance Professional Committee of Chinese Preventive Medical Association and the Standing Committee of Youth and Deputy Secretary General of International Society of Biostatistics China Branch, the independent PI of National Institute of Drug and Device Regulation, in Peking University, Deputy Secretary General of the Standing Committee of the Pharmaceutical Clinical Evaluation and Research Committee of China Association of Chinese Materia Medica, Deputy Secretary General of the World Federation of Traditional Chinese Medicine Big Data Industry Branch, Assistant to the Director of Big Data Preprocessing and Statistics Center of National Engineering Laboratory for Big Data Analysis and Application Technology.

She has worked and studied at the Wellcome Trust Sanger Institute in the UK and the Department of Biostatistics at the University of Washington in the US. At present, she is the deputy editor of "Medical Statistics", an English language planning textbook for clinical medicine majors in national colleges and universities, published by People's Medical Publishing House. And she has participated in the compilation of several planning textbooks and published Statistical Methods in Diagnostic Medicine as the first translator. She also has had 3 national invention patents and presided over 3 projects of National Natural Science Foundation of China, 25 projects of other provincial and horizontal projects, and participated in more than 30 projects. Besides, she has took part in the design, data management and statistical analysis of more than 200 clinical studies, which were published in well-known journals such as JAMA. She owns the independent intellectual property rights of clinical research integration platform, which provides services for clinical research experts and enterprises more than 300 items. She has published more than 100 academic papers in the field of statistics and medicine.

Main research directions

Feature selection and predictive model in complex diseases

Drug repurposing methods based on artificial intelligence algorithms

Innovative designs and statistical methods development in clinical trials

Representative scientific research projects

1. General Project of the National Natural Science Foundation of China (81773550), Study on Feature Extraction and Application of Dynamic Multi-Mode Data Based on Deep Neural Network (2018/01-2021/12), host.

2. General Project of National Natural Science Foundation of China (81573256) research on Multi-scale High-dimensional Data Variable Screening and Prediction Model Based on Structural Group Sparse Algorithm (2016/01-2019/12), hosted.

3. Youth Project of National Natural Science Foundation of China (81102201) research on P-P Curve Model and Analysis Method Based on Multi-Stage Design of Anti-tumor New Drug (2012/01-2014/12), hosted.

4. A selective project funded by returnees from Heilongjiang Province: A Multi-time Point Prediction Model and Verification of Chemotherapy Sensitivity of Cervical Cancer Based on Sparse Algorithm of Structure Group (2018/01-202/12), hosted.

5. General Project of The National Natural Science Foundation of China (81473072) research on The Analysis Method and Application of Omics Data Fusion Based on Network Deconvolution and Bayesian Model (2015/01-2018/12), participated.

10 representative papers

1. Cao L, Yang J, Rong Z, Li L, Xia B, You C, Lou G, Jiang L, Du C, Meng H, Wang W, Wang M, Li K, Hou Y. A novel attention-guided convolutional network for the detection of abnormal cervical cells in cervical cancer screening. Medical Image Analysis. 2021.

2. Sun Y, Hou Y, Lv N, Liu Q, Lin N, Zhao S, Chu X, Chen X, Cheng G, Li P. Circulating lncRNA BC030099 Increases in Preeclampsia Patients. Molecular Therapy-Nucleic Acids. 2019; 14:562-6.

3. Zhao W, Zhao F, Yang K, Lu Y, Zhang Y, Wang W, Xie H, Deng K, Yang C, Rong Z, Hou Y, Li K. An immunophenotyping of renal clear cell carcinoma with characteristics and a potential therapeutic target for patients insensitive to immune checkpoint blockade. Journal of cellular biochemistry. 2019; 120(8): 13330-13341.

4. Yang C, Zhang M, Cai Y, Rong Z, Wang C, Xu Z, Xu H, Song W, Hou Y, Lou G. Platelet-derived growth factor-D expression mediates the effect of differentiated degree on prognosis in epithelial ovarian cancer. Journal of Cellular Biochemistry. 2019;120(5):6920-5.

5. Lu X, Li Y, Xia B, Bai Y, Zhang K, Zhang X, Xie H, Sun F, Hou Y, Li K. Selection of small plasma peptides for the auxiliary diagnosis and prognosis of epithelial ovarian cancer by using UPLC/MS-based nontargeted and targeted analyses. International Journal of Cancer. 2019;144(8):2033-42.

6. Zhang F, Zhang Y, Ke C, Li A, Wang W, Yang K, Liu H, Xie H, Deng K, Zhao W, Yang C, Lou G, Hou Y, Li K. Predicting ovarian cancer recurrence by plasma metabolic profiles before and after surgery. Metabolomics. 2018;14(5).

7. Wang C, Yang C, Wang W, Xia B, Li K, Sun F, Hou Y. A Prognostic Nomogram for Cervical Cancer after Surgery from SEER Database. Journal of Cancer. 2018;9(21):3923-8.

8. Deng K, Yang C, Tan Q, Song W, Lu M, Zhao W, Lou G, Li Z, Li K, Hou Y. Sites of distant metastases and overall survival in ovarian cancer: A study of 1481 patients. Gynecologic Oncology. 2018;150(3):460-5.

9. Ke C, Hou Y, Zhang H, Fan L, Ge T, Guo B, Zhang F, Yang K, Wang J, Lou G, Li K. Large-scale profiling of metabolic dysregulation in ovarian cancer. International Journal of Cancer. 2015;136(3):516-26.

10. Hou Y, Yin M, Sun F, Zhang T, Zhou X, Li H, Zheng J, Chen X, Li C, Ning X, Lou G, Li K. A metabolomics approach for predicting the response to neoadjuvant chemotherapy in cervical cancer patients. Molecular Biosystems. 2014;10(8):2126-33.