5411148241

KIM OM KNOM KNOM

prof. Daniel Gianola

University of Wisconsin-Madison, Department of Animal Science

Statistical Methods for Genome-Enabled Selection

11.06.2018    Introduction. Molecular markers and prediction. Predictive Inference. Cross-validation. Overview of penalised methods. Review of least-squares, maximum likelihood and best linear unbiased prediction.

12.06.2018    Review of Bayesian inference. MCMC and Bayesian regression. Bayesian predictive distributions. Challenges from complexity: over-parametrisation, instrumental models, errors in gene action specification.

13.06.2018    Genome-wide association studies and pitfalls. Genomie BLUP and genomie studentised prediction (GSTUP). The Bayesian alphabet (Bayes A. Bayes B, Bayes C, Bayesian Lasso, Bayes R).

13.06.2018 Introduction of non-parametric regression: kernel methods and neural networks. The problem of dealing with gene-gene-gene-...-gene interactions.

13.06.2018 Estimating distributions of prediction-errors via resampling.

Organisation: Registration - send information about participation on mail:

[e-mail]

Registration deadline    30 April 2018

Payment deadline    1S May 2018

Course fee - 600 Euro plus accommodation cost

Detail information will be send to all participants upon registration

Location:    Wrocław University of Envlronmental and Life Science Wrocław, Poland