Qianxing (Quincy) Mo, Ph.D. - Biography
Assistant ProfessorDivision of Biostatistics, Dan L. Duncan Cancer Center Section of Hematology/Oncology, Department of Medicine Baylor College of Medicine Phone: 713-798-2599
Education & Training:2005 - 2006 Postdoctoral training, Statistics, Texas A&M University, College Station, Texas 2000 - 2005 Ph.D., Molecular Biology, Lehigh University, Pennsylvania 2003 - 2004 M.S., Statistics, Lehigh University, Pennsylvania
1992 - 1996 B.S., Biology, East China Normal University, Shanghai, P. R. China
My interests in collaborative research range from design and analysis of clinical trials to mining high-throughput genomic data that are typically generated from microarray-based and second generation sequencing experiments (e.g., microarray gene expression, DNA methylation, aCGH, ChIP-chip, ChIP-seq, RNA-seq). As a biostatistician and bioinformatician, I seek to use state-of-the-art statistical and/or bioinformatical methods to design clinical trials, test clinical and biological hypotheses and extract meaningful information from complex genomic data. My interests in statistical methodological research mainly focus on statistical genomics. I am especially interested in applying Bayesian methods to model and integrate multiple large-scale genomic data in an effort to identify biomarkers and molecular signatures that may lead to diagnosis and treatment of diseases with a primary focus on cancer. My diverse experiences have helped me bridge the fields of clinical, biological and statistical studies.
American Statistical Association (ASA). ASA sections: Biometrics, Bayesian Statistical Science
Associate Editor, BMC BioinformaticsEditorial board member, Journal of Biometrics and Biostatistics
Current list on Pubmed includes the following:
- Mo Q, Wang S, Seshan VE, Olshen AB, Schultz N, Sander C, Powers RS, Ladanyi M, Shen R. (2013). Pattern discovery and cancer gene identification in integrated cancer genomic data. Proc. Natl. Acad. Sci. USA, 110(11):4245-50. Software (http://www.mskcc.org/research/epidemiology-biostatistics/biostatistics/iclusterplus)
- Shen R, Wang S, Mo Q. (2013). Sparse Integrative Clustering of Multiple Omics Data Sets. Annals of Applied Statistics, 7(1) 269-294. Software (http://www.mskcc.org/research/epidemiology-biostatistics/biostatistics/iclusterplus)
- Mo Q. (2012). A Fully Bayesian Hidden Ising Model for ChIP-seq Data Analysis. Biostatistics, 13(1):113-28. Software (http://www.bioconductor.org/packages/release/bioc/html/iSeq.html)
- The Cancer Genome Atlas Research Network (Including Mo Q as a coauthor). (2012). Comprehensive genomic characterization of squamous cell lung cancers. Nature, 489(7417):519-25. (Mo Q contributed to integrative clustering analysis of the data).
- Gao H, Chakraborty G, Lee-Lim AP, Mo Q, Decker M, Vonica A, Shen R, Brogi E, Brivanlou AH, Giancotti FG. (2012). The BMP Inhibitor Coco Reactivates Breast Cancer Cells at Lung Metastatic Sites. Cell, 150(4):764-79.
- Mo Q, Liang F. (2010). Bayesian Modeling of ChIP-chip Data through a High-order Ising Model. Biometrics, 66, 1284-1294. Software (http://www.bioconductor.org/packages/release/bioc/html/iChip.html)
- Mo Q, Liang F. (2010). A Hidden Ising Model for ChIP-chip Data Analysis. Bioinformatics, 26(6), 777-783. Software (http://www.bioconductor.org/packages/release/bioc/html/iChip.html)
- Mo Q, Lu S, Garippa C, Brownstein MJ, Simon NG. (2009). Genome-wide Analysis of DHEA and DHT Induced Gene Expression in Mouse Hypothalamus and Hippocampus. Journal of Steroid Biochemistry Molecular Biology, 114(3-5):135-43.
For more information, visit Dr. Mo's webpage.