Explore automated quantitative trait locus analysis in this 30-minute conference talk from the Computational Genomics Summer Institute. Delve into genetic architecture, quantitative traits, and machine learning applications in genomics. Learn about feature engineering, selection, and additive encoding. Discover how genetic programming and Pareto optimization are used in biodata mining. Examine the AutoQTL pipeline for analyzing complex traits, including its application to rat models. Gain insights into the latest advancements in computational genomics and their potential impact on understanding genetic contributions to complex diseases.
Automated Quantitative Trait Locus Analysis - CGSI 2023
Computational Genomics Summer Institute CGSI via YouTube
Overview
Syllabus
Introduction
Genetic Architecture
Quantitative Trait
Linear Regression
Machine Learning
Making Machine Learning Easy
Automation
Decisions
Data
Feature Engineering
Feature Selection
Additive Encoding
Conceptual Overview
Code Base
Expression Tree
Genetic Programming
Pareto Optimization
Biodata Mining
Rats
Manhattan Plot
Pareto Optimal Models
Pipelines
Interactions
Pipeline
Conclusion
Review Paper
AutoQTL
Location
Taught by
Computational Genomics Summer Institute CGSI
