我于2011年在武汉大学获得理学学士学位，2016年在北京大学获得理学博士学位，2016-2020年在斯坦福大学从事博士后研究，2020年秋就职于首都师范大学交叉科学研究院。我的研究方向是统计学和生物医学的交叉方向，包括统计遗传学、生物信息学和生物统计学等。欢迎相关方向的老师和同学和我交流，联系方式见本页面底部。

工作经历

教育经历

研究经历

论文列表

  1. Jiang L, Wang M, Lin S, Jian R, Li X, Chan J, Dong G, Fang H, Robinson A and Snyder M (2020). A Quantitative Proteome Map of the Human Body. Cell, 183:1-15.
  2. Fang H, Hui Q, Lynch J, Honerlaw J, Assimes TL, Huang J, Vujkovic M, Damrauer SM, Pyarajan S, Gaziano JM, DuVall SL, O’Donnell CJ, Cho K, Chang K-M, Wilson PWF, Tsao PS, the VA Million Veteran Program, Sun YV and Tang H (2019). Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies. The American Journal of Human Genetics, 105: 763-772.
  3. Bick AG, Akwo E, Robinson-Cohen C, Lee K, Lynch J, Assimes TL, DuVall S, Edwards T, Fang H, Freiberg SM, Giri A, Huffman JE, Huang J, Hull L, Kember RL, Klarin D, Lee JS, Levin M, Miller DR, Natarajan P, Saleheen D, Shao Q, Sun YV, Tang H, Wilson O, Chang K-M, Cho K, Concato J, Gaziano JM, Kathiresan S, O’Donnell CJ, Rader DJ, Tsao PS, Wilson PW, Hung AM, Damrauer SM and on behalf of the VA Million Veteran Program (2019). Association of APOL1 Risk Alleles with Cardiovascular Disease in African Americans in the Million Veteran Program. Circulation, 140: 1031-1040.
  4. Wang Y, Fang H, Yang D, Zhao H and Deng M (2019). Network clustering analysis using mixture exponential-family random graph models and its application in genetic interaction data. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 16: 1743-1752.
  5. Xie W, Luo H, Murugapiran SK, Dodsworth JA, Chen S, Sun Y, Hedlund BP, Wang P, Fang H, Deng M and Zhang CL (2018). Localized high abundance of Marine Group II archaea in the subtropical Pearl River Estuary: implications for their niche adaptation. Environmental Microbiology, 20: 734-754.
  6. Ding J, Chen X, Fang H and Liu Y (2018). Case-cohort design for accelerated hazards model. Statistics and Its Interface, 11: 657-668.
  7. Coram MA, Fang H, Candille SI, Assimes TL and Tang H (2017). Leveraging Multi-ethnic Evidence for Risk Assessment of Quantitative Traits in Minority Populations. The American Journal of Human Genetics, 101: 218-226.
  8. Fang H, Huang C, Zhao H and Deng M (2017). gCoda: Conditional Dependence Network Inference for Compositional Data. Journal of Computational Biology, 24: 699-708.
  9. Wang Z+, Fang H+, Tang NLS and Deng M (2017). VCNet: vector-based gene co-expression network construction and its application to RNA-seq data. Bioinformatics, 33: 2173-2181. (+Co-first authors)
  10. Wu C, Zhao H, Fang H and Deng M (2017). Graphical model selection with latent variables. Electronic Journal of Statistics, 11: 3485-3521.
  11. Fang H, Huang C, Zhao H and Deng M (2015). CCLasso: correlation inference for compositional data through Lasso. Bioinformatics, 31: 3172-3180.
  12. Chen J, Peng Z, Zhang R, Yang X, Tan B, Fang H, Liu C, Shi M, Ye Z, Zhang Y, Deng, M, Zhang X and Li C (2014). RNA editome in rhesus macaque shaped by purifying selection. PLoS Genetics, 10: e1004274.

报告列表

教学经历

联系方式

办公室：北京市西三环北路105号首都师范大学 校本部教二楼306室
邮箱: huayingfang AT hotmail.com (请把AT替换为@，并移除空格)