Current Research Interests:
Quincy collaborates with other investigators in the department on many clinical and genomic studies. His clinical collaborations focus on examining clinical and treatment factors on survival outcomes in glioblastomas, prostate, head and neck, and liver cancers. His genomic projects focus on analysis of high-throughput data generated from microarray-based studies including gene expression, array CGH and ChIP-chip experiments. The aims of these projects are to study differential gene expression, DNA copy number alterations, DNA methylation and transcription factor DNA binding sites on a genome-wide basis. Quincy's research interests are genomic data analysis and statistical computation. He is especially interested in applying Bayesian methods and developing software for genomic data.
Selected Bibliography:
- Swartz MD, Mo Q, Murphy ME, Lupton JR, Turner ND, Hong MY, Vannucci M. Bayesian Variable Selection in Clustering High Dimensional Data with Substructure. Journal of Agricultural, Biological and Environmental Statistics, 2008; 13, 407-423.
- Dahl DB, Mo Q, Vannucci M. Simultaneous Inference for Multiple Testing and Clustering via a Dirichlet Process Mixture Model. Statistical Modeling, 2008; 8, 23-39.
- Mo Q, Lu S, Garippa C, Brownstein MJ, Simon NG. Genome-wide Analysis of DHEA and DHT Induced Gene Expression in Mouse Hypothalamus and Hippocampus. Journal of Steroid Biochemistry Molecular Biology, 2009; 114(3-5):135-43.
- Mo Q, Lu SF, Simon NG. Dehydroepiandrosterone and its Metabolites: Differential Effects on Androgen Receptor Intracellular Trafficking and Transcriptional Activity. Journal of Steroid Biochemistry Molecular Biology, 2006; 99(1):50-8.
- Mo Q, Lu SF, Hu S, Simon NG. DHEA and DHEA Sulfate Differentially Regulate Neural Androgen Receptor and its Transcriptional Activity. Molecular Brain Research, 2004; 126(2):165-72.
