Latest Past Events
Bayesian Nonparametric Differential Analysis for Dependent Multigroup Data with Application to DNA Methylation Analyses; By Subharup Guha, Associate Professor, Department of Biostatistics, University of Florida
CBC C217 4505 S Maryland Pkwy, Las VegasAbstract: Cancer 'omics datasets involve widely varying sizes and scales, measurement variables, and correlation structures. An overarching scientific goal in cancer research is the development of general statistical techniques that can cleanly sift the signal from the noise in identifying genomic signatures of the disease across a set of experimental or biological conditions. We propose […]
Learning Connectivity Networks from High-Dimensional Point Processes; By Ali Shojaie, Associate Professor of Biostatistics, Department of Biostatistics University of Washington Seattle, WA
CBC C217 4505 S Maryland Pkwy, Las VegasAbstract: High-dimensional point processes have become ubiquitous in many scientific fields. For instance, neuroscientists use calcium florescent imaging to monitor the firing of thousands of neurons in live animals. In this talk, I will discuss new methodological, computational and theoretical developments for learning neuronal connectivity networks from high-dimensional point processes. Time permitting, I will also […]
Statistical Approaches to Mitigating Inter-Scanner Differences in Magnetic Resonance Imaging Studies; By Russell Shinohara, Associate Professor of Biostatistics, University of Pennsylvania Perelman School of Medicine
CBC C217 4505 S Maryland Pkwy, Las VegasAbstract: While magnetic resonance imaging (MRI) studies are critical for the diagnosis, monitoring, and study for a wide variety of diseases, their use in quantitative analysis can be complex. An increasingly recognized issue involves the differences between MRI scanners that are used in large multi-center studies. To address this, the current state of the art […]
