Li-Xuan Qin

Associate Attending Biostatistician

Li-Xuan Qin

Office Phone



University of Washington

Current Research Interests

Dr. Qin develops statistical methods for high throughput data analysis problems to address clinically important questions in cancer research. Within this framework, her current research primarily focuses on the use of statistical experimental design, exploratory data analysis, and mixture models for reproducible translations of cancer genomics data and on the translational studies of soft tissue sarcoma. She serves as the Corresponding Co-Director of the Biostatistics and Bioinformatics Core in the Soft Tissue Sarcoma Specialized Program of Research Excellence, and has been the recipient of an NIH R01 grant to develop efficient statistical methods for analyzing microRNA array and sequencing data.



  1. Qin LX and Self SG. The clustering of regression models method with applications to gene expression data. Biometrics 2006, 62:526-533.

  2. Qin LX, Zhou Q, Bogomolniy F, Villafania L, Olvera N, Cavatore M, Satagopan JM, Begg CB, Levine DA. Blocking and randomization to improve molecular biomarker discovery. Clinical Cancer Research 2014, 20:3371-3378.

  3. Qin LX, Levine DA. Study design and data normalization to improve the discovery of prognostic molecular biomarkers. BMC Medical Genomics 2016, 9:27.

  4. Qin LX, Huang HC, Begg CB. Cautionary note on using cross-validation for molecular classification. Journal of Clinical Oncology 2016, Epub ahead of print.

  5. Qin LX, Tuschl T, Singer S. Empirical insights into the stochasticity of small RNA sequencing. Scientific Reports 2016, 6:24061.

For a complete list of publications: