Empowering the Data Science Ecosystem for Whole Genome Sequencing Analysis Using ML Methods and Tools

Explore the cutting-edge methods and resources for empowering the data science ecosystem in scalable analysis of large biobank- and population-based Whole Genome Sequencing (WGS) association studies in this comprehensive conference talk. Delve into rare variant association tests using integrative analysis and ensemble methods, and discover an innovative ensemble framework for testing that mimics random forests to address challenges in the field. Learn about the key components of this framework, including the introduction of random procedures in constructing base tests. Gain insights into building an end-to-end ecosystem for WGS analysis and examine results from large-scale population-based WGS studies and biobanks. This talk provides a valuable overview of the latest advancements in data science for whole genome sequencing analysis, incorporating machine learning methods and tools to revolutionize the field.