Dr Ana Viñuela
Dr Alison Heggie
Donna McEvoy
Professor Mark Walker
| Author Correction: Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models (Nature Biotechnology, (2023), 41, 3, (399-408), 10.1038/s41587-022-01520-x) | 2023 |
|
Dr Ana Viñuela
Dr Alison Heggie
Donna McEvoy
Professor Mark Walker
| Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models | 2023 |
|
Dafni Michalettou
Dr Alison Heggie
Donna McEvoy
Professor Mark Walker
Dr Harshal Deshmukh
et al. | Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits | 2023 |
|
Dr Ana Viñuela
Dr Alison Heggie
Donna McEvoy
Professor Mark Walker
| Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study | 2022 |
|
Dr Alison Heggie
Donna McEvoy
Dr Ana Viñuela
Professor Mark Walker
| Processes Underlying Glycemic Deterioration in Type 2 Diabetes: An IMI DIRECT Study | 2021 |
|
Donna McEvoy
Dianne Wake
Dr Alison Heggie
Dr Harshal Deshmukh
| A reference map of potential determinants for the human serum metabolome | 2020 |
|
Dr Ana Viñuela
Dr Alison Heggie
Donna McEvoy
Professor Mark Walker
| Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts | 2020 |
|
Dr Alison Heggie
Donna McEvoy
Dr Ana Viñuela
Professor Mark Walker
| Whole blood co-expression modules associate with metabolic traits and type 2 diabetes: an IMI-DIRECT study | 2020 |
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