Statistical methods for single-cell and spatial RNA-seq

Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments and have considerable expertise in the experimental design and analysis of bulk RNA-seq studies and in single-cell RNA-seq. The group also uses high-throughput data from... Read more »

Identifying effector genes of human GWAS variants by INFIMA

Dr. Sunduz Keles will give a biostatistics talk titled "Identifying effector genes of human GWAS variants by INFIMA". The Keles Research Group is interested in statistical and computational genomics and develops statistical and computational data science methods for problems in high-dimensional genomic and biomedical data. The group will exploit, leverage and integrate high-throughput functional, genomic,... Read more »

Synthesizing evidence about harms in systematic reviews

2301 McGavran-Greenberg Hall McGavran-Greenberg Hall, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Dr. Evan Mayo-Wilson is an epidemiologist with training and experience in intervention design, evaluation and translation of clinical evidence into policy and practice. His research focuses on evaluating the effectiveness... Read more »

Semblie: Introduction and New Feature Demo

Join the NC TraCS Institute for a live training session for Semblie, a free platform for developing digital health interventions. Semblie was designed with the needs of public health researchers... Read more »

Machine Learning Tools & Precision Medicine in Clinical Research

Machine learning analysis methods offer the opportunity to integrate and learn from large amounts of biological, clinical, and environmental data. During this session, clinicians and researchers will explore the use of machine learning tools and precision medicine techniques in clinical research. This session will feature an overview of machine learning tools in the field of... Read more »

Canvas Challenge Summer 2022

The Canvas Challenge is a multi-module, guided-paced course available fully online on Canvas for Gillings’ teaching faculty. The Challenge affords instructors a collaborative space to refine their pedagogical practices with... Read more »