Isobel Claire Gormley

Orcid: 0000-0001-7713-681X

According to our database1, Isobel Claire Gormley authored at least 15 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images.
CoRR, 2024

2021
multiMarker: software for modelling and prediction of continuous food intake using multiple biomarkers measurements.
BMC Bioinform., 2021

Computational modelling of chromosomally clustering protein domains in bacteria.
BMC Bioinform., 2021

2019
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap.
Comput. Stat., 2019

BINDER: computationally inferring a gene regulatory network for Mycobacterium abscessus.
BMC Bioinform., 2019

2016
Clustering with the multivariate normal inverse Gaussian distribution.
Comput. Stat. Data Anal., 2016

Model based clustering for mixed data: clustMD.
Adv. Data Anal. Classif., 2016

2014
Mixed Membership Models for Rank Data.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

2013
Clustering Ordinal Data via Latent Variable Models.
Proceedings of the Algorithms from and for Nature and Life, 2013

MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach.
BMC Bioinform., 2013

2012
Computational aspects of fitting mixture models via the expectation-maximization algorithm.
Comput. Stat. Data Anal., 2012

2011
Transcriptomic Coordination in the Human Metabolic Network Reveals Links between n-3 Fat Intake, Adipose Tissue Gene Expression and Metabolic Health.
PLoS Comput. Biol., 2011

2010
Probabilistic Principal Component Analysis for Metabolomic Data.
BMC Bioinform., 2010

Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of metabolic syndrome.
BMC Bioinform., 2010

2006
A Latent Space Model for Rank Data.
Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006


  Loading...