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1
Introduction
2
Genetic Architecture
3
Quantitative Trait
4
Linear Regression
5
Machine Learning
6
Making Machine Learning Easy
7
Automation
8
Decisions
9
Data
10
Feature Engineering
11
Feature Selection
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Additive Encoding
13
Conceptual Overview
14
Code Base
15
Expression Tree
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Genetic Programming
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Pareto Optimization
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Biodata Mining
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Rats
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Manhattan Plot
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Pareto Optimal Models
22
Pipelines
23
Interactions
24
Pipeline
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Conclusion
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Review Paper
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AutoQTL
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Location
Description:
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
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