T
T. Brendan Murphy
Researcher at University College Dublin
Publications - 38
Citations - 3255
T. Brendan Murphy is an academic researcher from University College Dublin. The author has contributed to research in topics: Cluster analysis & Prostate cancer. The author has an hindex of 13, co-authored 37 publications receiving 2397 citations. Previous affiliations of T. Brendan Murphy include National University of Ireland.
Papers
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Journal ArticleDOI
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models.
TL;DR: This updated version of mclust adds new covariance structures, dimension reduction capabilities for visualisation, model selection criteria, initialisation strategies for the EM algorithm, and bootstrap-based inference, making it a full-featured R package for data analysis via finite mixture modelling.
Journal ArticleDOI
Effect of hemoglobin levels in hemodialysis patients with asymptomatic cardiomyopathy
Robert N. Foley,Patrick S. Parfrey,Janet Morgan,Paul E. Barre,Patricia Campbell,Pierre Cartier,Douglas Coyle,Adrian Fine,Paul Handa,Iris Kingma,Cathy Y. Lau,Adeera Levin,David C. Mendelssohn,Norman Muirhead,T. Brendan Murphy,Richard K. Plante,Gerald A. Posen,George A. Wells +17 more
TL;DR: Normalization of hemoglobin does not lead to regression of established concentric LV hypertrophy or LV dilation, and it may, however, prevent the development of LV dilated and it leads to improved quality of life.
Journal ArticleDOI
Desulfovibrio bacterial species are increased in ulcerative colitis.
Fiachra Rowan,Neil G. Docherty,Madeline Murphy,T. Brendan Murphy,John Calvin Coffey,P. Ronan O’Connell +5 more
TL;DR: The presence of Desulfovibrio subspecies is increased in ulcerative colitis and the data presented suggest that these bacteria represent an increased percentage of the colonic microbiome in acute ulceratives colitis.
Book
Model-Based Clustering and Classification for Data Science
TL;DR: In this paper, the authors frame cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions, such as how many clusters are there? which method should I use? How should I handle outliers.
Journal ArticleDOI
The effect of the GENTLE/s robot-mediated therapy system on arm function after stroke
TL;DR: The positive treatment effect for both groups suggests that robot-mediated therapy can have a treatment effect greater than the same duration of non-functional exercises, suggesting the optimal duration of treatment in the form of a randomized controlled trial are warranted.