| Using machine learning approaches for multi-omics data analysis: A review PS Reel, S Reel, E Pearson, E Trucco, E Jefferson Biotechnology Advances 49, 107739, 2021 | 351 | 2021 |
| Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK S Ball, A Banerjee, C Berry, JR Boyle, B Bray, W Bradlow, A Chaudhry, ... Heart 106 (24), 1890-1897, 2020 | 111 | 2020 |
| SNAPPI-DB: a database and API of structures, iNterfaces and alignments for protein–protein interactions ER Jefferson, TP Walsh, TJ Roberts, GJ Barton Nucleic acids research 35 (suppl_1), D580-D589, 2007 | 78 | 2007 |
| The contrasting properties of conservation and correlated phylogeny in protein functional residue prediction JR Manning, ER Jefferson, GJ Barton BMC bioinformatics 9 (1), 1-16, 2008 | 45 | 2008 |
| Biological units and their effect upon the properties and prediction of protein–protein interactions ER Jefferson, TP Walsh, GJ Barton Journal of molecular biology 364 (5), 1118-1129, 2006 | 34 | 2006 |
| Targeted metabolomics as a tool in discriminating endocrine from primary hypertension Z Erlic, P Reel, S Reel, L Amar, A Pecori, CK Larsen, M Tetti, C Pamporaki, ... The Journal of Clinical Endocrinology & Metabolism 106 (4), e1111-e1128, 2021 | 27 | 2021 |
| Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database J Jacob, D Alexander, JK Baillie, R Berka, O Bertolli, J Blackwood, ... European Respiratory Journal 56 (2), 2020 | 27 | 2020 |
| Desiderata for the development of next-generation electronic health record phenotype libraries M Chapman, S Mumtaz, LV Rasmussen, A Karwath, GV Gkoutos, C Gao, ... GigaScience 10 (9), giab059, 2021 | 25 | 2021 |
| Collaborative improvement in Scottish GP clusters after the Quality and Outcomes Framework: a qualitative study H Huang, ER Jefferson, M Gotink, C Sinclair, SW Mercer, B Guthrie British Journal of General Practice 71 (710), e719-e727, 2021 | 24 | 2021 |
| Collaborative improvement in Scottish GP clusters after the Quality and Outcomes Framework H Huang, ER Jefferson, M Gotink, C Sinclair, SW Mercer, B Guthrie | 24 | 2021 |
| Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study PS Reel, S Reel, JC van Kralingen, K Langton, K Lang, Z Erlic, CK Larsen, ... EBioMedicine 84, 104276, 2022 | 22 | 2022 |
| The research data management platform (RDMP): A novel, process driven, open-source tool for the management of longitudinal cohorts of clinical data T Nind, J Galloway, G McAllister, D Scobbie, W Bonney, C Hall, L Tramma, ... GigaScience 7 (7), giy060, 2018 | 19 | 2018 |
| Age, sex, and socioeconomic differences in multimorbidity measured in four ways: UK primary care cross-sectional analysis C MacRae, SW Mercer, D Henderson, M McMinn, DR Morales, ... British Journal of General Practice, 2023 | 18 | 2023 |
| A comparison of SCOP and CATH with respect to domain–domain interactions ER Jefferson, TP Walsh, GJ Barton Proteins: Structure, Function, and Bioinformatics 70 (1), 54-62, 2008 | 16 | 2008 |
| Investigating the relationship between type 2 diabetes and dementia using electronic medical records in the GoDARTS bioresource ASF Doney, W Bonney, E Jefferson, KE Walesby, R Bittern, E Trucco, ... Diabetes Care 42 (10), 1973-1980, 2019 | 15 | 2019 |
| An extensible big data software architecture managing a research resource of real-world clinical radiology data linked to other health data from the whole Scottish population T Nind, J Sutherland, G McAllister, D Hardy, A Hume, R MacLeod, ... GigaScience 9 (10), giaa095, 2020 | 13 | 2020 |
| The impact of varying the number and selection of conditions on estimated multimorbidity prevalence: a cross-sectional study using a large, primary care population dataset CE MacRae, M McMinn, SW Mercer, D Henderson, D McAllister, I Ho, ... medRxiv, 2023.02. 16.23285983, 2023 | 12 | 2023 |
| A National Network of Safe Havens: Scottish Perspective C Gao, M McGilchrist, S Mumtaz, C Hall, LA Anderson, J Zurowski, ... Journal of Medical Internet Research 24 (3), e31684, 2022 | 12 | 2022 |
| Erratum to: An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis D Cushnan, O Bennett, R Berka, O Bertolli, A Chopra, S Dorgham, ... GigaScience 10 (12), giab083, 2021 | 12* | 2021 |
| An overview of the National COVID-19 Chest Imaging Database: data quality and cohort analysis D Cushnan, O Bennett, R Berka, O Bertolli, A Chopra, S Dorgham, ... GigaScience 10 (11), giab076, 2021 | 12 | 2021 |
