… genomic prediction of complex traits, it is not yet clear when dense or sparse models are
optimal. For genomic … when we examine genomic prediction of complex traits in humans, where …

… complex trait relationships … genomic prediction models that increase prediction accuracy
by exploiting pleiotropic effects among traits, and (iii) investigate how increased prediction …

… to learn about genetic trait architecture only if the trait has a … However, as soon as the trait
architecture becomes more … for GWA studies and genome-based prediction we tend to explore …

… applications to genomic prediction, since … of genomic prediction theory and current limitations.
Second, we describe the theoretical concepts behind DL, including main DL architectures, …

… affecting complex traits, contributing to our knowledge of the biology of these traits. However…
, limiting our ability to predict quantitative trait phenotypes from high resolution genetic …

… However, small gains in prediction accuracies can be achieved if the WGP model is … to the
genetic architecture of the trait. If the trait architecture is unknown eg for novel traits which only …

… genomic prediction, mapping of causal variants and inference on the genetic architecture of
complex traits… the statistical model and its use for prediction of phenotype. This is followed by …

… genomic prediction is lacking. This paper evaluates prediction accuracy in the context of
genomic … (DL) methods with a densely connected network architecture, which is a type of ML …

… Genome-wide association analyses were used to derive marker weights for creating weighted
genomic … exploit the genetic architecture of traits and produce more stable predictions. …

… We also show that the accuracy of predicting genetic values is higher for traits with a … of
genomic prediction which can be achieved for this trait with the accuracy of genomic predictions …