Timothy M D Ebbels

20PUBLICATIONS
60CO-AUTHORS
Proteomics and metabolomicsMetabolic medicineDeep learningGenomics and transcriptomicsTime series and spatial modelling
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Publications (20)

|May 20, 2026
Lipid Class Prediction from MS1 Data using Gaussian Graphical Models.

|Feb 09, 2026
What's in a name? Metabolite identification: challenges and pitfalls in untargeted metabolomics.

Georgios Theodoridis, Oliver Fiehn, Michal Holčapek

|Jul 10, 2025
MAMSI: Integration of Multiassay Liquid Chromatography-Mass Spectrometry Metabolomics Data Using Multiview Machine Learning.

Lukas Kopecky, Caroline J Sands, María Gómez-Romero

|Jul 11, 2024
Resolution Enhancement of Metabolomic J-Res NMR Spectra Using Deep Learning.

Yan Yan, Michael T Judge, Toby Athersuch

|Mar 25, 2024
PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration.

Cecilia Wieder, Juliette Cooke, Clement Frainay

|Feb 21, 2024
LAVASET: Latent Variable Stochastic Ensemble of Trees. An ensemble method for correlated datasets with spatial, spectral, and temporal dependencies.

Melpomeni Kasapi, Kexin Xu, Timothy M D Ebbels

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Frequent Collaborators

3 joint publications

Elizabeth J Want

3 joint publications

Gonçalo Graça

3 joint publications

Elena Chekmeneva

2 joint publications

Katerina J Kechris