The Biostatistics and Bioinformatics Core is a shared resource for biostatistics and
bioinformatics consulting and support ranging from project design to data analysis.
It is a critical component of the research infrastructure in the Department of Neuroscience
& Regenerative Medicine.
Statistical Analysis
Statistical design of biomedical, translational and clinical studies, including sample
size and power analysis
Testing of assumptions of statistical tests
Applying regression-based models to identify factors associated with disease outcomes.
Development of novel statistical methods and models: Monte Carlo methods and simulations,
the Cross-Entropy method, resampling methods, and mixed-effects models
Bioinformatics Analysis
RNA-seq,
microarray
ChIP-seq
DNA methylation
Whole genome sequencing
Contact
Hongyan Xu, PhD
Professor School of Public Health, Department of Biostatistics, Data Science, & Epidemiology Director, Biostatistics & Bioinformatics Core MCG, DNRM