Add to ORKGThis dissertation develops statistical and computational methods for human genetics. We consider modern solutions to estimate the power of proposed genetic studies, and propose an alternative to the mixed model framework for analysis on non-Gaussian distributions. The methods we develop are designed for multivariate simulation and analysis in high dimensions. We implement our methods in individual, open-sourced Julia packages. They are freely available to the scientific community through the OpenMendel platform
With the rapid advances in molecular biology, the near completion of the human genome, the developme...
The identification of causes of genetic diseases has been carried out by several approaches with inc...
In this paper we provide some new statistical results for hypotheses testing in genetics particularl...
This dissertation develops statistical and computational methods for human genetics. We consider mod...
This dissertation develops statistical and computational methods for human genetics. We considerprob...
The goal of this thesis is to explore, improve and implement some advanced modern computational meth...
Background: Statistical geneticists employ simulation to estimate the power of proposed studies, tes...
Large-scale genome-wide association studies (GWAS) have produced a rich resource of genetic data ove...
We have developed an algorithm for genetic analysis of complex traits using genome-wide SNPs in a li...
Statistical genetics is a scientific field concerned with the development of statistical methods for...
The Genome-wide Association study (GWAS) is one of the primary tools for understanding the genetic b...
Some statistical models and methods used in genetical studies of populations are described. In parti...
This thesis develops and evaluates statistical methods for different types of genetic analyses, incl...
The existence of new technologies, implemented in efficient platforms and workflows has made massive...
Over the past two decades, major technological innovations have transformed the field of genetics al...
With the rapid advances in molecular biology, the near completion of the human genome, the developme...
The identification of causes of genetic diseases has been carried out by several approaches with inc...
In this paper we provide some new statistical results for hypotheses testing in genetics particularl...
This dissertation develops statistical and computational methods for human genetics. We consider mod...
This dissertation develops statistical and computational methods for human genetics. We considerprob...
The goal of this thesis is to explore, improve and implement some advanced modern computational meth...
Background: Statistical geneticists employ simulation to estimate the power of proposed studies, tes...
Large-scale genome-wide association studies (GWAS) have produced a rich resource of genetic data ove...
We have developed an algorithm for genetic analysis of complex traits using genome-wide SNPs in a li...
Statistical genetics is a scientific field concerned with the development of statistical methods for...
The Genome-wide Association study (GWAS) is one of the primary tools for understanding the genetic b...
Some statistical models and methods used in genetical studies of populations are described. In parti...
This thesis develops and evaluates statistical methods for different types of genetic analyses, incl...
The existence of new technologies, implemented in efficient platforms and workflows has made massive...
Over the past two decades, major technological innovations have transformed the field of genetics al...
With the rapid advances in molecular biology, the near completion of the human genome, the developme...
The identification of causes of genetic diseases has been carried out by several approaches with inc...
In this paper we provide some new statistical results for hypotheses testing in genetics particularl...