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 cancer biomarker discovery and on the genomics and 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 received an NIH R01 grant to develop efficient statistical methods for analyzing microRNA array and sequencing data.



Publications by Li-Xuan Qin

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

Qin LX, Zhou Q. MicroRNA array normalization: an evaluation using a randomized dataset as the benchmark. PLOS ONE 2014, 9:e98879.

Qin LX and Satagopan J. Normalization method for transcriptional studies of heterogeneous samples – simultaneous array normalization and identification of equivalent expression. Statistical Applications in Genetics and Molecular Biology 2009, 8:Article 10.

Qin LX#. An integrative analysis of microRNA and mRNA expression – a case study. Cancer Informatics 2008, 6:369-379.

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