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Explore the application of the Pyro probabilistic programming language in statistical genomics through this informative conference talk. Delve into the powerful capabilities of Pyro for modeling complex biological systems and analyzing genomic data. Learn how to leverage this deep universal probabilistic programming framework to develop sophisticated statistical models for genomics research. Discover practical examples and case studies, including isoform-specific RNA knockdown using Cas13d and investigating RNA splicing as a source of cellular diversity. Gain insights into the integration of computational and experimental approaches in genomics. Understand the advantages of using Pyro for implementing and scaling probabilistic models in genomics applications. Enhance your skills in probabilistic programming and its applications in advancing genomic research and analysis.
