| Probabilistic principal component analysis for metabolomic data G Nyamundanda, L Brennan, IC Gormley BMC Bioinformatics 11 (1), 1-11, 2010 | 165 | 2010 |
| A mixture of experts model for rank data with applications in election studies IC Gormley, TB Murphy The Annals of Applied Statistics 2 (4), 1452-1477, 2008 | 138 | 2008 |
| Exploring voting blocs within the Irish electorate: A mixture modeling approach IC Gormley, TB Murphy Journal of the American Statistical Association 103 (483), 1014-1027, 2008 | 126 | 2008 |
| MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach G Nyamundanda, IC Gormley, Y Fan, WM Gallagher, L Brennan BMC Bioinformatics 14 (1), 1-8, 2013 | 110 | 2013 |
| Model based clustering for mixed data: clustMD D McParland, IC Gormley Advances in Data Analysis and Classification 10 (2), 155-169, 2016 | 97 | 2016 |
| Clustering with the multivariate normal inverse Gaussian distribution A O’Hagan, TB Murphy, IC Gormley, PD McNicholas, D Karlis Computational Statistics & Data Analysis 93, 18-30, 2016 | 95 | 2016 |
| Analysis of Irish third-level college applications data IC Gormley, TB Murphy Journal of the Royal Statistical Society Series A: Statistics in Society 169 …, 2006 | 88 | 2006 |
| A latent space model for rank data IC Gormley, TB Murphy ICML Workshop on Statistical Network Analysis, 90-102, 2006 | 71 | 2006 |
| A grade of membership model for rank data IC Gormley, TB Murphy Bayesian Analysis 4 (2), 265-295, 2009 | 64 | 2009 |
| A mixture of experts latent position cluster model for social network data IC Gormley, TB Murphy Statistical Methodology 7 (3), 385-405, 2010 | 54 | 2010 |
| Dislocation of primary total hip arthroplasty and the risk of redislocation SA Brennan, F Khan, C Kiernan, JM Queally, J McQuillan, IC Gormley, ... Hip International 22 (5), 500-504, 2012 | 50 | 2012 |
| Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap A O’Hagan, TB Murphy, L Scrucca, IC Gormley Computational Statistics 34, 1779-1813, 2019 | 49* | 2019 |
| Infinite mixtures of infinite factor analysers K Murphy, C Viroli, IC Gormley Bayesian Analysis 15 (3), 937–963, 2020 | 48 | 2020 |
| Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods M Frizzarin, IC Gormley, DP Berry, TB Murphy, A Casa, A Lynch, ... Journal of Dairy Science 104 (7), 7438-7447, 2021 | 46 | 2021 |
| Computational aspects of fitting mixture models via the expectation–maximization algorithm A O’Hagan, TB Murphy, IC Gormley Computational Statistics & Data Analysis 56 (12), 3843-3864, 2012 | 46 | 2012 |
| Influence of weather variables on pain severity in end-stage osteoarthritis SA Brennan, T Harney, JM Queally, J O’Connor McGoona, IC Gormley, ... International Orthopaedics 36, 643-646, 2012 | 44 | 2012 |
| Clustering South African households based on their asset status using latent variable models D McParland, IC Gormley, TH McCormick, SJ Clark, CW Kabudula, ... The Annals of Applied Statistics 8 (2), 747, 2014 | 43 | 2014 |
| Transcriptomic coordination in the human metabolic network reveals links between n-3 fat intake, adipose tissue gene expression and metabolic health MJ Morine, AC Tierney, B Van Ommen, H Daniel, S Toomey, IMF Gjelstad, ... PLoS Computational Biology 7 (11), e1002223, 2011 | 43 | 2011 |
| Mixture of experts models IC Gormley, S Frühwirth-Schnatter Handbook of mixture analysis, 271-307, 2019 | 41 | 2019 |
| Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome MJ Morine, J McMonagle, S Toomey, CM Reynolds, AP Moloney, ... BMC Bioinformatics 11 (1), 1-12, 2010 | 26 | 2010 |
Brendan MurphyUniversity College DublinVerified email at ucd.ie
