TITULO: PREDICTION OF COMPLEX TRAITS
IMPARTIDO POR: DANIEL GIANOLA
LENGUA: Impartido en castellano con diapositivas en inglés
FECHA: 22 a 26 de Mayo de 2017
LUGAR: Edificio del Departamento de Ciencia Animal (Edificio 7G). Universidad Politécnica de Valencia. Aula 1 (Planta baja) . Pinchar aquí para ver el plano de situación
HORARIO:
LUNES a VIERNES 9:30 a 14:00
MATRICULA: Se paga un precio de 50 euros por la gestión y los diplomas. Acceder a la siguiente dirección y seguir las instrucciones:
PROGRAMA
1. Introduction. Molecular markers and prediction. Predictive inference. Cross-validation. Overview of some penalized methods.
2. Review of least-squares, maximum likelihood and best linear unbiased prediction.
3. GWAS (genome-wide association study) and pitfalls.
4. Review of Bayesian inference, MCMC and Bayesian regression. Bayesian predictive distributions
5. Challenges from complexity: over-parameterization, instrumental models, errors in gene action specification.
6. Genomic BLUP and genomic studentized prediction (GSTUP). The Bayesian alphabet (Bayes A, B, C, Bayesian Lasso, Bayes R).
7. The problem of dealing with gene-gene-gene-....-gene interactions.
8. Introduction to non-parametric regression: kernel methods and neural networks.
9. Estimating distributions of prediction errors via re-sampling.
PRESENTACIONES
FILE 2 A- OVERVIEW OF LEAST SQUARES ML BLUP PART 1.pdf
FILE 2 B- OVERVIEW OF LEAST SQUARES ML BLUP PART 2.pdf
FILE 3- OVERVIEW OF BAYESIAN INFERENCE.pdf
FILE 4- GENOMIC BLUP AND BAYESIAN GENOMIC BLUP.pdf