Publications
Below is a selection of my publications in peer-reviewed journals. My Google Scholar profile is available here.
For a full list of my publications, including book chapters, please see my UCD Research Profile.
Selected publications in peer-reviewed journals
2024
Gwee, Xian Yao, Isobel Claire Gormley, and Michael Fop. (2024) A latent shrinkage position model for binary and count network data. Bayesian Analysis, DOI, R package.
Gwee, Xian Yao, Isobel Claire Gormley, and Michael Fop. (2024) Variational Inference for the Latent Shrinkage Position Model. Stat, DOI, R package.
Tavernier, E., Gormley, I. C., Delaby, L., O'Donovan, M., & Berry, D. P. (2024). Genetic covariance components for measures of nitrogen utilization in grazing dairy cows. Journal of Dairy Science, DOI.
2023
Gormley, Isobel Claire, Thomas Brendan Murphy and Adrian E. Raftery. (2023) Model-Based Clustering. Annual Review of Statistics and Its Application. DOI.
Frizzarin, M., Gormley, I.C., Berry, D.P. and McParland, S. (2023) Estimation of body condition score change in dairy cows in a seasonal calving pasture-based system using routinely available milk mid-infrared spectra and machine learning techniques. Journal of Dairy Science. DOI.
Tavernier, E., Gormley, I. C., Delaby, L., Mcparland, S., O'Donovan, M., & Berry, D. P. (2023). Cow-level factors associated with nitrogen utilization in grazing dairy cows using a cross-sectional analysis of a large database. Journal of Dairy Science, DOI.
Frizzarin, M., Miglior, F., Berry, D. P., Gormley, I. C., & Baes, C. F. (2023). Usefulness of mid-infrared spectroscopy as a tool to estimate body condition score change from milk samples in intensively fed dairy cows. Journal of Dairy Science, DOI.
Gupta, S., Gormley, I.C. and Brennan, L. (2023) MetaboVariation: Exploring Individual Variation in Metabolite Levels. Metabolites. DOI, R package.
2022
Gormley, Isobel Claire, Silvia D'Angelo and Lorraine Brennan. (2022) Combining Biomarker and Food Intake Data. Wiley StatsRef: Statistics Reference Online. DOI.
2021
D'Angelo, Silvia, Lorraine Brennan, and Isobel Claire Gormley. (2021) Inferring food intake from multiple biomarkers using a latent variable model. Annals of Applied Statistics. DOI, arXiv, R package multiMarker, Shiny app.
D'Angelo, Silvia, Isobel Claire Gormley, Aoife E. McNamara and Lorraine Brennan. multiMarker: software for modelling and prediction of continuous food intake using multiple biomarkers measurements. BMC Bioinformatics. 2021 Sep 28 DOI, R package multiMarker, Shiny app.
Murphy, Keefe, Thomas Brendan Murphy, Raffaella Piccarreta, and Isobel Claire Gormley. (2021) Clustering Longitudinal Life-Course Sequences using Mixtures of Exponential-Distance Models. Journal of the Royal Statistical Society, Series A (Statistics in Society) DOI, arXiv, R package MEDseq.
Frizzarin, M., Gormley, I. C., Berry, D. P., Murphy, T. B., Casa, A., Lynch, A., & McParland, S. (2021). Predicting cow milk quality traits from routinely available milk spectra using statistical machine learning methods. Journal of Dairy Science. DOI.
2020
Margot Selosse, Isobel Claire Gormley, Julien Jacques and Christophe Biernacki. A bumpy journey: exploring deep Gaussian mixture models. `I Can't Believe It's Not Better!'' NeurIPS 2020 workshop. pdf. R code.
Keefe Murphy, Cinzia Viroli and Isobel Claire Gormley. Infinite Mixtures of Infinite Factor Analysers. Bayesian Analysis. To appear. arXiv, R package IMIFA.
Pierce Rafter, Isobel Claire Gormley, Andrew C Parnell, Francis J Kearney, Donagh Berry. Concordance rate between copy number variants detected using either high- or medium-density single nucleotide polymorphism genotype panels and the potential of imputing copy number variants from flanking high density single nucleotide polymorphism haplotypes in cattle. BMC Genomics. DOI.
Isobel Claire Gormley, Yuxin Bai and Lorraine Brennan. Combining biomarker and self-report dietary intake data: a review of the state of the art and an overview of concepts. Statistical Methods in Medical Research. arXiv. DOI. R code.
2019
Patrick M. Staunton, Aleksandra A. Miranda-CasoLuengo, Brendan J. Loftus and Isobel Claire Gormley. BINDER: computationally inferring a gene regulatory network for Mycobacterium abscessus. BMC Bioinformatics. DOI, R code.
Silvia D’Angelo, Isobel Claire Gormley, Breige McNulty, Anne Nugent, Janette Walton, Albert Flynn and Lorraine Brennan. Combining biomarker and food intake data: calibration equations for citrus intake. American Journal of Clinical Nutrition. DOI, Shiny app.
Adrian O'Hagan, Thomas Brendan Murphy, Luca Scrucca and Isobel Claire Gormley. Estimation of Parameter Uncertainty in Clustering Using a Gaussian Mixture Model Via Jackknife, Bootstrap and Weighted Likelihood Bootstrap. Computational Statistics. arXiv, DOI, R code.
2018
Grogan, K., Gormley, I.C., Rooney, B., Whelan, R., Kiiski, H., Naughton, M. and Bramham, J. Differential diagnosis and comorbidity of ADHD and anxiety in adults. British Journal of Clinical Psychology. DOI.
Pierce Rafter, Deirdre Purfield, Donagh Berry, Andrew Parnell, Isobel Claire Gormley, J Francis Kearney, Mike Coffey, Tara Carthy. Characterization of copy number variants in a large multibreed population of beef and dairy cattle using high-density single nucleotide polymorphism genotype data. Journal of Animal Science. URL.
2017
2016
Damien McParland and Isobel Claire Gormley. Model Based Clustering for Mixed Data: clustMD. Advances in Data Analysis and Classification. arXiv , DOI , R package clustMD .
Adrian O'Hagan, Thomas Brendan Murphy, Isobel Claire Gormley, Paul D. McNicholas and Dimitris Karlis. MNIGclust: Clustering Using the Multivariate Normal Inverse Gaussian Distribution. Computational Statistics and Data Analysis. URL, DOI.
2014
Damien McParland, Isobel Claire Gormley, Tyler H. McCormick, Samuel J.Clark, Chodziwadziwa Whiteson Kabudula and Mark A. Collinson. Clustering South African Households Based on their Asset Status Using Latent Variable Models.Annals of Applied Statistics. arXiv, DOI, C code.
Gift Nyamundanda, Lorraine Brennan and Isobel Claire Gormley. A dynamic probabilistic principal components model for the analysis of longitudinal metabolomics data. Journal of the Royal Statistical Society: Series C (Applied Statistics). arXiv, DOI, R code.
*Video of the invited talk I presented on this paper at the 2014 conference of the Royal Statistical Society available here.*
2013
Gift Nyamundanda, Isobel Claire Gormley, Yue Fan, William M Gallagher and Lorraine Brennan. MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach. BMC Bioinformatics. URL, DOI, R package MetSizeR.
2012
2010
Gift Nyamundanda, Lorraine Brennan and Isobel Claire Gormley. Probabilistic principal component analysis for metabolomic data. BMC Bioinformatics. URL, DOI, R package MetabolAnalyze .
Isobel Claire Gormley and Thomas Brendan Murphy. A Mixture of Experts Latent Position Cluster Model for Social Network Data. Statistical Methodology. URL , DOI, R package MEclustnet.
2009
2008
Isobel Claire Gormley and Thomas Brendan Murphy. A mixture of experts model for rank data with applications in election studies. Annals of Applied Statistics. arXiv, DOI, C code.
Isobel Claire Gormley and Thomas Brendan Murphy. Exploring Voting Blocs Within the Irish Electorate: A Mixture Modeling Approach. Journal of the American Statistical Association, Applications and Case Studies. URL, DOI.
2006
General interest publications.
Isobel Claire Gormley. Lots of good data is the holy grail, but lots of bad data is very dangerous Silicon Republic, June 5th 2019.
Isobel Claire Gormley. The science of statistics: its application in sports performance analytics The Engineers Journal, Engineers Ireland. August 9th 2016.
Isobel Claire Gormley. How does Santa organise his list? The Irish Independent, Science of Christmas supplement, December 14th 2015.