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Application of latent Gaussian models in genetics

Latent Gaussian models represent an important class of models used in genetics, especially for the analysis of traits having complex genetic architecture and being under influence of environment. These complexities severely limit the discovery of gen

B.04 Guest lecture

COBISS.SI-ID: 3062664

2.

Whole-genome evaluation of complex traits using SNP, haplotype, or QTL information

Whole-genome technologies provide rich data for dissection of complex traits. While gene discovery is still largely limited, the data at hand can be successfully used for evaluation of genetic merit. The aim of this work was to demonstrate the value

B.03 Paper at an international scientific conference

COBISS.SI-ID: 3116168

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D.10 Educational activities

COBISS.SI-ID: 2931336

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D.09 Tutoring for postgraduate students

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F.23 Development of new system-wide, normative and programme solutions, and methods