YoVDO

Using the Pyro Probabilistic Programming Language for Statistical Genomics - CGSI 2024

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Bioinformatics Courses Machine Learning Courses Bayesian Inference Courses Computational Biology Courses Probabilistic Programming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

David Knowles | Using the Pyro probabilistic programming language for statistical gen... | CGSI 2024


Taught by

Computational Genomics Summer Institute CGSI

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent