Material from courses, training and research activities.
- notes
- theoretical insights
- worked out notebooks with exercises (R, Python)
- super-quick recap of linear mixed models
- application to genetics and breeding: from BLUP to GBLUP
- an alternative parameterization: the SNP-BLUP
- how to do cross-validation with SNP-BLUP
- how to do cross-validation with GBLUP
- basic statistics
- matrix algebra recap (super-quick)
- general introduction to animal breeding
- heritability estimation
- pedigree and kinship matrices
- enter genomics: genomic relationship matrices
- runs of homozygosity (ROH) and genomic inbreeding
- mixed models: BLUP and GBLUP
- multiple trait models and genetic correlations
- selection index theory
- brief introduction to deep learning
- models for image recognition: computer vision for veterinary diagnosis (and for genomic selection)
- R : The Comprehensive R Archive Network (CRAN)
- Python: The Python Tutorial