Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution IM Heid, AU Jackson, JC Randall, TW Winkler, L Qi, V Steinthorsdottir, ... Nature genetics 42 (11), 949-960, 2010 | 1125 | 2010 |
Germline mutations affecting the proofreading domains of POLE and POLD1 predispose to colorectal adenomas and carcinomas C Palles, JB Cazier, KM Howarth, E Domingo, AM Jones, P Broderick, ... Nature genetics 45 (2), 136-144, 2013 | 1116 | 2013 |
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls Nature 464 (7289), 713-720, 2010 | 944 | 2010 |
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ... The Lancet Digital Health 2 (10), e537-e548, 2020 | 913 | 2020 |
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling A Jasra, CC Holmes, DA Stephens | 911 | 2005 |
Bayesian methods for nonlinear classification and regression DGT Denison, CC Holmes, BK Mallick, AFM Smith John Wiley & Sons, 2002 | 859 | 2002 |
Bayesian nonparametrics NL Hjort, C Holmes, P Müller, SG Walker Cambridge University Press, 2010 | 823 | 2010 |
QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data S Colella, C Yau, JM Taylor, G Mirza, H Butler, P Clouston, AS Bassett, ... Nucleic Acids Research 35 (6), 2013-2025, 2007 | 794 | 2007 |
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ... The Lancet Digital Health 2 (10), e549-e560, 2020 | 745 | 2020 |
Bayesian auxiliary variable models for binary and multinomial regression L Held, CC Holmes | 628 | 2006 |
Key issues in conducting a meta-analysis of gene expression microarray datasets A Ramasamy, A Mondry, CC Holmes, DG Altman PLoS medicine 5 (9), e184, 2008 | 611 | 2008 |
Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study A Banerjee, L Pasea, S Harris, A Gonzalez-Izquierdo, A Torralbo, ... The Lancet 395 (10238), 1715-1725, 2020 | 541 | 2020 |
A general framework for updating belief distributions PG Bissiri, CC Holmes, SG Walker Journal of the Royal Statistical Society: Series B (Statistical Methodology
, 2016 | 535 | 2016 |
Factors influencing success of clinical genome sequencing across a broad spectrum of disorders JC Taylor, HC Martin, S Lise, J Broxholme, JB Cazier, A Rimmer, ... Nature genetics 47 (7), 717-726, 2015 | 438 | 2015 |
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson, ... bmj 368, 2020 | 409 | 2020 |
On the utility of graphics cards to perform massively parallel simulation of advanced Monte Carlo methods A Lee, C Yau, MB Giles, A Doucet, CC Holmes Journal of Computational and Graphical Statistics 19 (4), 769-789, 2010 | 379 | 2010 |
On Markov chain Monte Carlo methods for tall data R Bardenet, A Doucet, C Holmes Journal of Machine Learning Research 18 (47), 1-43, 2017 | 354 | 2017 |
GWAS identifies 14 loci for device-measured physical activity and sleep duration A Doherty, K Smith-Byrne, T Ferreira, MV Holmes, C Holmes, SL Pulit, ... Nature communications 9 (1), 5257, 2018 | 336 | 2018 |
Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments QF Wills, KJ Livak, AJ Tipping, T Enver, AJ Goldson, DW Sexton, ... Nature biotechnology 31 (8), 748-752, 2013 | 291 | 2013 |
The epidemiological impact of the NHS COVID-19 app C Wymant, L Ferretti, D Tsallis, M Charalambides, L Abeler-Dörner, ... Nature 594 (7863), 408-412, 2021 | 283 | 2021 |