2 citations · 2 across the 1 of their papers we have counts for
3 papers
Algorithms for Large-scale Whole Genome Association Analysis
Elmar Peise, Diego Fabregat, Yurii Aulchenko +1
In order to associate complex traits with genetic polymorphisms, genome-wide association studies process huge datasets involving tens of thousands of individuals genotyped for mill…
Solving Sequences of Generalized Least-Squares Problems on Multi-threaded Architectures
Diego Fabregat-Traver, Yurii Aulchenko, Paolo Bientinesi
Generalized linear mixed-effects models in the context of genome-wide association studies (GWAS) represent a formidable computational challenge: the solution of millions of correla…
High-throughput Genome-wide Association Analysis for Single and Multiple Phenotypes
Diego Fabregat-Traver, Yurii S. Aulchenko, Paolo Bientinesi
The variance component tests used in genomewide association studies of thousands of individuals become computationally exhaustive when multiple traits are analysed in the context o…