Timothy M. D. Ebbels
Orcid: 0000-0002-3372-8423Affiliations:
- Imperial College London, UK
According to our database1,
Timothy M. D. Ebbels
authored at least 23 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2024
LAVASET: Latent Variable Stochastic Ensemble of Trees. An ensemble method for correlated datasets with spatial, spectral, and temporal dependencies.
Bioinform., March, 2024
PLoS Comput. Biol., February, 2024
2022
Dagstuhl Reports, 2022
Single sample pathway analysis in metabolomics: performance evaluation and application.
BMC Bioinform., 2022
2021
Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis.
PLoS Comput. Biol., 2021
BMC Bioinform., 2021
2020
BMC Bioinform., 2020
Targeted realignment of LC-MS profiles by neighbor-wise compound-specific graphical time warping with misalignment detection.
Bioinform., 2020
2019
Predictive modelling using pathway scores: robustness and significance of pathway collections.
BMC Bioinform., 2019
2017
2015
Over-representation of correlation analysis (ORCA): a method for identifying associations between variable sets.
Bioinform., 2015
2012
BATMAN - an R package for the automated quantification of metabolites from nuclear magnetic resonance spectra using a Bayesian model.
Bioinform., 2012
2011
Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells.
PLoS Comput. Biol., 2011
Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA.
Bioinform., 2011
Bioinform., 2011
2010
Correlation Network Analysis reveals a sequential reorganization of metabolic and transcriptional states during germination and gene-metabolite relationships in developing seedlings of Arabidopsis.
BMC Syst. Biol., 2010
Correction of mass calibration gaps in liquid chromatography-mass spectrometry metabolomics data.
Bioinform., 2010
2009
Bioinform., 2009
2008
BMC Bioinform., 2008
2006
<i>springScape</i>: visualisation of microarray and contextual bioinformatic data using spring embedding and an "information landscape".
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006