9 citations · 24 across the 12 of their papers we have counts for
14 papers
Adventures in Multi-Omics I: Combining heterogeneous data sets via relationships matrices
Deniz Akdemir, Julio Isidro Sanchez
In this article, we propose a covariance based method for combining partial data sets in the genotype to phenotype spectrum. In particular, an expectation-maximization algorithm th…
Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm)
Deniz Akdemir
Optimal subset selection is an important task that has numerous algorithms designed for it and has many application areas. STPGA contains a special genetic algorithm supplemented w…
Locally Epistatic Models for Genome-wide Prediction and Association by Importance Sampling
Deniz Akdemir, Jean-Luc Jannink
In statistical genetics an important task involves building predictive models for the genotype-phenotype relationships and thus attribute a proportion of the total phenotypic varia…
Efficient Breeding by Genomic Mating
Deniz Akdemir, Julio Isidro Sanchez
In this article, we propose an approach to breeding which focuses on mating instead of truncation selection, our method uses genome-wide marker information in a similar fashion to…
Genomic Prediction of Quantitative Traits using Sparse and Locally Epistatic Models
Deniz Akdemir
In plant and animal breeding studies a distinction is made between the genetic value (additive + epistatic genetic effects) and the breeding value (additive genetic effects) of an…
Training population selection for (breeding value) prediction
Deniz Akdemir
Training population selection for genomic selection has captured a great deal of interest in animal and plant breeding. In this article, we derive a computationally efficient stati…