Current Research Interests:
Dr. Qin's research interests are in statistical genomics and bioinformatics. Specific areas of interest include:
- Data normalization. Dr. Qin has first-authored two papers on the evaluation of existing data normalization methods, one for two-color cDNA arrays and the other for one-color oligonucleotide arrays. Together with Dr. Satagopan, she is developing a new normalization method for complex disease.
- Gene clustering. Dr. Qin has developed a new method for gene clustering, the clustering of regression models (CORM) method. CORM extends K-means clustering to incorporate sample covariates and clusters genes based on their relationship to covariates, such as disease subtype.
- Sample clustering and sample classification. Dr. Qin is also interested in the problems of feature selection and reproducibility evaluation for sample clustering and sample classification (a.k.a. class discovery and class prediction).
Dr. Qin is involved in a number of genomic collaborations from various clinical areas, such as neuroblastoma, soft tissue sarcoma, leukemia, ovarian cancer, and colon cancer. Dr. Qin is also responsible for the design and analysis of clinical trials and retrospective studies in soft tissue sarcoma.
Selected Bibliography:
- Qin LX and Self SG. The clustering of regression models method with applications to gene expression data. Biometrics 2006, 62: 526-533.
- Qin LX, Beyer R, Hudson N, Linford N, Morris D, Kerr KF. Validation of data transformation methods for oligonucleotide arrays with qRT-PCR measurements. BMC Bioinformatics 2006, 7:23.
- Members of the Toxicogenomics Research Consortium. Standardizing global gene expression analysis between laboratories and across platforms. Nature Methods 2005, 2:351-356.
- Qin LX, Kerr KF, Contributing Members of the Toxicogenomics Research Consortium. Empirical evaluation of data transformations and ranking statistics for microarray analysis. Nucleic Acids Research 2004, 32(18):5471-5479.
- Qin L, Marrs G, McKim R, Dailey M. Hippocampal mossy fibers induce assembly and clustering of PSD95-containing postsynaptic densities independent of glutamate receptor activation. The Journal of Comparative Neurology 2001, 440:284-298.
