The JSB lab is led by the PI, Dr. Jingyi Jessica Li, with around eight highly motivated graduate and undergraduate students. Our research is at the junction of statistics and biology, as our lab name JSB represents. We focus on developing statistical and computational methods motivated by important questions in biomedical sciences and abundant information in big genomic and health related data. On the statistical methodology side, our example interests include association measures, high-dimensional variable selection, and classification metrics. On the biomedical application side, our example interests include next-generation RNA sequencing, comparative genomics, and information flow in the central dogma. 

Yang, Y.*, Yang, Y.T.*, Yuan, J., Lu, Z.J. and Li, J.J. (2017). Large-scale mapping of mammalian transcriptomes identifies conserved genes associated with different cell states. Nucleic Acids Research 45(4):1657-1672. | [ PDF ]
Li, W.V.Chen, Y. and Li, J.J. (2017). TROM: A Testing-Based Method for Finding Transcriptomic Similarity of Biological Samples. Statistics in Biosciences 9(1):105-136. | [ PDF ]
Li, J.J. and Biggin, M.D. (2015). Statistics requantitates the central dogma. Science 347(6226):1066-1067. [UCLA News] [Interview at Significance 12(3):8] | [ PDF ]