Christos Palaiokostas

This study evaluates two-tower machine learning models for predicting reproductive outcomes and sex-specific fertility liabilities using simulated genomic data.

This study develops a 72k SNP array to assess BKD resistance in Arctic charr and finds genomic prediction is feasible with moderate accuracy.

The paper estimates genetic parameters and sex-specific architecture of fertility traits in Arctic charr, identifying genetic correlations and trade-offs affecting reproductive success.

This study evaluates genomic selection for predicting resistance to koi herpesvirus disease in carp using RAD-seq data, showing improved accuracy over pedigree-based methods.