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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 […]
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 […]
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 […]
