News:[Online Course] Genome-Wide Prediction of Complex Traits (March 24-28, 2025)
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Dear all,

We’re excited to announce our upcoming online course: Genome-Wide Prediction of Complex Traits, taking place from March 24-28, 2025.

Course Overview:

This course will provide a comprehensive introduction to genomic prediction for animals, plants, and humans. Participants will learn key quantitative genetics concepts, explore linear mixed models, and apply machine learning approaches for genome-enabled prediction.


Who Should Attend?

  • Researchers, students, and professionals in genetics, breeding, or human genomics

  • Those looking to implement genomic prediction methods in their work

  • Participants with basic knowledge of R, Unix, and genomic data will benefit the most


This hands-on course is designed for students, researchers, and professionals working on genomic prediction in animals, plants, and humans. Through a combination of lectures and practical exercises, participants will learn to:

  • Compute genomic breeding values & genomic risk scores
  • Apply linear mixed models, Bayesian regression, and machine learning

  • Implement cross-validation strategies for complex trait prediction

  • Analyze genomic data using R, Linux, and specialized software

Course highlights:

  • Day 1: Introduction to Genomic Prediction & Quantitative Genetics

  • Day 2: Pedigree vs. Genomic-based Prediction & Dimensionality Issues

  • Day 3: GBLUP, Bayesian Regression, and Post-Gibbs Convergence

  • Day 4: Bayesian Methods, Machine Learning & Predictive Metrics

  • Day 5: Workshop on Genome-Enabled Prediction


More info & registration: https://www.physalia-courses.org/courses-workshops/course49b/

MachineLearning MixedModels BayesianRegression GenomicPrediction GenomicRiskScores • 150 views
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