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Shrivastava, Aditya Divyakant, Swainston, Neil, Samanta, Soumitra, Roberts, Ivayla, Wright Muelas, Marina ORCID: 0000-0002-4775-4358 and Kell, Douglas B ORCID: 0000-0001-5838-7963
(2021)
MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra.
BIOMOLECULES, 11 (12).
1793-.
Coyle, Seamus ORCID: 0000-0002-4761-9703, Chapman, Elinor, Hughes, David Michael, Baker, James, Slater, Rachael, Davison, Andrew S, Norman, Brendan ORCID: 0000-0001-9293-4852, Roberts, Ivayla, Nwosu, Amara C, Boyd, Mark T et al (show 5 more authors)
Predicting Dying: Metabolomic Changes, a Model and the Dying Process in Patients with Lung Cancer.
[Preprint]
Roberts, Ivayla, Muelas, Marina Wright, Taylor, Joseph, Davison, Andrew ORCID: 0000-0001-5501-4475, Winder, Catherine, Goodacre, Royston ORCID: 0000-0003-2230-645X and Kell, Douglas ORCID: 0000-0001-5838-7963
(2023)
Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.
[Preprint]
Roberts, Ivayla, Wright Muelas, Marina, Taylor, Joseph M, Davison, Andrew S, Winder, Catherine L, Goodacre, Royston ORCID: 0000-0003-2230-645X and Kell, Douglas B ORCID: 0000-0001-5838-7963
(2023)
Quantitative LC-MS study of compounds found predictive of COVID-19 severity and outcome.
Metabolomics : Official journal of the Metabolomic Society, 19 (11).
87-.
Roberts, Ivayla, Muelas, Marina Wright, Taylor, Joseph M, Davison, Andrew S ORCID: 0000-0001-5501-4475, Xu, Yun ORCID: 0000-0003-3228-5111, Grixti, Justine M, Gotts, Nigel, Sorokin, Anatolii, Goodacre, Royston ORCID: 0000-0003-2230-645X and Kell, Douglas B ORCID: 0000-0001-5838-7963
(2022)
Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome.
METABOLOMICS, 18 (1).
6-.
Roberts, Ivayla ORCID: 0000-0003-3525-9787, Muelas, Marina Wright, Taylor, Joseph, Davison, Andrew ORCID: 0000-0001-5501-4475, Xu, Yun, Grixti, Justine ORCID: 0000-0003-1117-2580, Gotts, Nigel, Sorokin, Anatolii, Goodacre, Royston and Kell, Douglas ORCID: 0000-0001-5838-7963
(2020)
Untargeted metabolomics of COVID-19 patient serum reveals potential prognostic markers of both severity and outcome.
2020.12.09.20246389-.
Muelas, Marina Wright, Roberts, Ivayla, Mughal, Farah, O'Hagan, Steve, Day, Philip J and Kell, Douglas B ORCID: 0000-0001-5838-7963
(2020)
An untargeted metabolomics strategy to measure differences in metabolite uptake and excretion by mammalian cell lines.
METABOLOMICS, 16 (10).
107-.