activity
20102022
most citedPopulation Structure and Cryptic Relatedness in Genetic Association Studies

495 citations · 499 across the 3 of their papers we have counts for

collaborators

5 papers

math.NA2022

On randomized sketching algorithms and the Tracy-Widom law

Daniel Ahfock, William J. Astle, Sylvia Richardson

There is an increasing body of work exploring the integration of random projection into algorithms for numerical linear algebra. The primary motivation is to reduce the overall com…

stat.ME2017

Statistical properties of sketching algorithms

Daniel Ahfock, William J. Astle, Sylvia Richardson

Sketching is a probabilistic data compression technique that has been largely developed in the computer science community. Numerical operations on big datasets can be intolerably s…

stat.AP2011★ 2 cited

BATMAN-an R package for the automated quantification of metabolites from NMR spectra using a Bayesian Model

Jie Hao, William Astle, Maria De Iorio +1

Motivation: NMR spectra are widely used in metabolomics to obtain metabolite profiles in complex biological mixtures. Common methods used to assign and estimate concentrations of m…

stat.ME2011★ 2 cited

A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures

William Astle, Maria De Iorio, Sylvia Richardson +2

Nuclear Magnetic Resonance (NMR) spectra are widely used in metabolomics to obtain profiles of metabolites dissolved in biofluids such as cell supernatants. Methods for estimating…

stat.ME2010★ 495 cited

Population Structure and Cryptic Relatedness in Genetic Association Studies

William Astle, David J. Balding

We review the problem of confounding in genetic association studies, which arises principally because of population structure and cryptic relatedness. Many treatments of the proble…