| Untargeted metabolic quantitative trait loci analyses reveal a relationship between primary metabolism and potato tuber quality N Carreno-Quintero, A Acharjee, C Maliepaard, CWB Bachem, R Mumm, ... Plant physiology 158 (3), 1306-1318, 2012 | 147 | 2012 |
| Hepatic steatosis risk is partly driven by increased de novo lipogenesis following carbohydrate consumption FWB Sanders, A Acharjee, C Walker, L Marney, LD Roberts, F Imamura, ... Genome biology 19, 1-15, 2018 | 100 | 2018 |
| Integration of multi-omics data for prediction of phenotypic traits using random forest A Acharjee, B Kloosterman, RGF Visser, C Maliepaard BMC bioinformatics 17, 363-373, 2016 | 100 | 2016 |
| A pilot integrative analysis of colonic gene expression, gut microbiota, and immune infiltration in primary sclerosing cholangitis-inflammatory bowel disease: association of … MN Quraishi, A Acharjee, AD Beggs, R Horniblow, C Tselepis, G Gkoutos, ... Journal of Crohn's and Colitis 14 (7), 935-947, 2020 | 89 | 2020 |
| Inter-individual variability in the production of flavan-3-ol colonic metabolites: Preliminary elucidation of urinary metabotypes P Mena, IA Ludwig, VB Tomatis, A Acharjee, L Calani, A Rosi, F Brighenti, ... European journal of nutrition 58, 1529-1543, 2019 | 84 | 2019 |
| Data integration and network reconstruction with∼ omics data using Random Forest regression in potato A Acharjee, B Kloosterman, RCH de Vos, JS Werij, CWB Bachem, ... Analytica chimica acta 705 (1-2), 56-63, 2011 | 74 | 2011 |
| Integration of metabolomics, lipidomics and clinical data using a machine learning method A Acharjee, Z Ament, JA West, E Stanley, JL Griffin BMC bioinformatics 17, 37-49, 2016 | 73 | 2016 |
| Unique diagnostic signatures of concussion in the saliva of male athletes: the Study of Concussion in Rugby Union through MicroRNAs (SCRUM) V Di Pietro, P O'Halloran, CN Watson, G Begum, A Acharjee, KM Yakoub, ... British journal of sports medicine 55 (24), 1395-1404, 2021 | 72 | 2021 |
| A random forest based biomarker discovery and power analysis framework for diagnostics research A Acharjee, J Larkman, Y Xu, VR Cardoso, GV Gkoutos BMC medical genomics 13, 1-14, 2020 | 71 | 2020 |
| Comparison of regularized regression methods for~ omics data A Acharjee, R Finkers, RG Visser, C Maliepaard Metabolomics 3 (3), 1-9, 2013 | 64 | 2013 |
| The application of omics techniques to understand the role of the gut microbiota in inflammatory bowel disease JP Segal, BH Mullish, MN Quraishi, A Acharjee, HRT Williams, T Iqbal, ... Therapeutic advances in gastroenterology 12, 1756284818822250, 2019 | 62 | 2019 |
| Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta … MG Selvaraj, M Valderrama, D Guzman, M Valencia, H Ruiz, A Acharjee Plant methods 16, 1-19, 2020 | 61 | 2020 |
| The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism A Acharjee, P Prentice, C Acerini, J Smith, IA Hughes, K Ong, JL Griffin, ... Metabolomics 13, 1-9, 2017 | 58 | 2017 |
| Breastfeeding promotes early neonatal regulatory T‐cell expansion and immune tolerance of non‐inherited maternal antigens H Wood, A Acharjee, H Pearce, MN Quraishi, R Powell, A Rossiter, ... Allergy 76 (8), 2447-2460, 2021 | 55 | 2021 |
| -Omics biomarker identification pipeline for translational medicine L Bravo-Merodio, JA Williams, GV Gkoutos, A Acharjee Journal of translational medicine 17, 1-10, 2019 | 47 | 2019 |
| Metabolomics and lipidomics study of mouse models of type 1 diabetes highlights divergent metabolism in purine and tryptophan metabolism prior to disease onset SA Murfitt, P Zaccone, X Wang, A Acharjee, Y Sawyer, A Koulman, ... Journal of proteome research 17 (3), 946-960, 2018 | 47 | 2018 |
| Cloud computing enabled big multi-omics data analytics S Koppad, GV Gkoutos, A Acharjee Bioinformatics and biology insights 15, 11779322211035921, 2021 | 33 | 2021 |
| Machine learning-driven metabolomic evaluation of cerebrospinal fluid: insights into poor outcomes after aneurysmal subarachnoid hemorrhage M Koch, A Acharjee, Z Ament, R Schleicher, M Bevers, C Stapleton, ... Neurosurgery 88 (5), 1003-1011, 2021 | 29 | 2021 |
| Distinct stromal and immune features collectively contribute to long-term survival in pancreatic cancer H Sadozai, A Acharjee, S Eppenberger-Castori, B Gloor, T Gruber, ... Frontiers in immunology 12, 643529, 2021 | 28 | 2021 |
| Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction L Bravo-Merodio, A Acharjee, J Hazeldine, C Bentley, M Foster, ... Scientific data 6 (1), 328, 2019 | 26 | 2019 |
