53 citations · 119 across the 7 of their papers we have counts for
8 papers
Extraction and integration of genetic networks from short-profile omic datasets
Jacopo Iacovacci, Alina Peluso, Timothy Ebbels +2
Mass-spectrometry technologies are widely used in the fields of ionomics and metabolomics to simultaneously profile at the genome scale intracellular concentrations of e.g. amino a…
Metabolomics in the Cloud: Scaling Computational Tools to Big Data
Jianliang Gao, Noureddin Sadawi, Ibrahim Karaman +8
Background: Metabolomics datasets are becoming increasingly large and complex, with multiple types of algorithms and workflows needed to process and analyse the data. A cloud infra…
Integrative analysis of time course metabolic data and biomarker discovery
Takoua Jendoubi, Timothy M. D. Ebbels
Metabonomics time-course experiments provide the opportunity to understand the changes to an organism by observing the evolution of metabolic profiles in response to internal or ex…
Bayesian inference for multiple Gaussian graphical models with application to metabolic association networks
Linda S. L. Tan, Ajay Jasra, Maria De Iorio +1
We investigate the effect of cadmium (a toxic environmental pollutant) on the correlation structure of a number of urinary metabolites using Gaussian graphical models (GGMs). The i…
BATMAN-an R package for the automated quantification of metabolites from NMR spectra using a Bayesian Model
Jie Hao, William Astle, Maria De Iorio +1
Motivation: NMR spectra are widely used in metabolomics to obtain metabolite profiles in complex biological mixtures. Common methods used to assign and estimate concentrations of m…
A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
William Astle, Maria De Iorio, Sylvia Richardson +2
Nuclear Magnetic Resonance (NMR) spectra are widely used in metabolomics to obtain profiles of metabolites dissolved in biofluids such as cell supernatants. Methods for estimating…