| Multi-omics resolves a sharp disease-state shift between mild and moderate COVID-19 Y Su, D Chen, D Yuan, C Lausted, J Choi, CL Dai, V Voillet, VR Duvvuri, ... Cell 183 (6), 1479-1495. e20, 2020 | 561 | 2020 |
| Gut microbiome pattern reflects healthy ageing and predicts survival in humans T Wilmanski, C Diener, N Rappaport, S Patwardhan, J Wiedrick, ... Nature metabolism 3 (2), 274-286, 2021 | 495 | 2021 |
| A wellness study of 108 individuals using personal, dense, dynamic data clouds ND Price*, AT Magis*, JC Earls*, G Glusman, R Levy, C Lausted, ... Nature biotechnology 35 (8), 747-756, 2017 | 404 | 2017 |
| Blood metabolome predicts gut microbiome α-diversity in humans T Wilmanski, N Rappaport, JC Earls, AT Magis, O Manor, J Lovejoy, ... Nature biotechnology 37 (10), 1217-1228, 2019 | 282 | 2019 |
| Cell type-specific genes show striking and distinct patterns of spatial expression in the mouse brain Y Ko, SA Ament, JA Eddy, J Caballero, JC Earls, L Hood, ND Price Proceedings of the National Academy of Sciences 110 (8), 3095-3100, 2013 | 93 | 2013 |
| Multi-omic biological age estimation and its correlation with wellness and disease phenotypes: a longitudinal study of 3,558 individuals JC Earls, N Rappaport, L Heath, T Wilmanski, AT Magis, NJ Schork, ... The Journals of Gerontology: Series A 74 (Supplement_1), S52-S60, 2019 | 79 | 2019 |
| Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention K Watanabe, T Wilmanski, C Diener, JC Earls, A Zimmer, B Lincoln, ... Nature medicine 29 (4), 996-1008, 2023 | 58 | 2023 |
| Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiome R Levy, AT Magis, JC Earls, O Manor, T Wilmanski, J Lovejoy, ... Proceedings of the National Academy of Sciences 117 (24), 13839-13845, 2020 | 54 | 2020 |
| A cell-surface membrane protein signature for glioblastoma D Ghosh, CC Funk, J Caballero, N Shah, K Rouleau, JC Earls, ... Cell systems 4 (5), 516-529. e7, 2017 | 51 | 2017 |
| High resolution time-course mapping of early transcriptomic, molecular and cellular phenotypes in Huntington’s disease CAG knock-in mice across multiple genetic backgrounds SA Ament, JR Pearl, A Grindeland, J St. Claire, JC Earls, M Kovalenko, ... Human molecular genetics 26 (5), 913-922, 2017 | 45 | 2017 |
| Multiomic blood correlates of genetic risk identify presymptomatic disease alterations M Wainberg, AT Magis, JC Earls, JC Lovejoy, N Sinnott-Armstrong, ... Proceedings of the National Academy of Sciences 117 (35), 21813-21820, 2020 | 33 | 2020 |
| Manifestations of Alzheimer’s disease genetic risk in the blood are evident in a multiomic analysis in healthy adults aged 18 to 90 L Heath, JC Earls, AT Magis, SA Kornilov, JC Lovejoy, CC Funk, ... Scientific reports 12 (1), 6117, 2022 | 21 | 2022 |
| Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedup AT Magis, JC Earls, YH Ko, JA Eddy, ND Price Bioinformatics 27 (6), 872-873, 2011 | 14 | 2011 |
| Identifying personalized metabolic signatures in breast cancer P Baloni, W Dinalankara, JC Earls, TA Knijnenburg, D Geman, ... Metabolites 11 (1), 20, 2020 | 13 | 2020 |
| AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signatures JC Earls, JA Eddy, CC Funk, Y Ko, AT Magis, ND Price BMC bioinformatics 14, 1-7, 2013 | 11 | 2013 |
| Determining relationships between risks for biological conditions and dynamic analytes AT Magis, JC Earls, N Price US Patent App. 16/215,723, 2019 | 8 | 2019 |
| Ageotypes: distinct biomolecular trajectories in human aging BD Piening, J Lovejoy, JC Earls Trends in pharmacological sciences 41 (5), 299-301, 2020 | 7 | 2020 |
| Manifestations of genetic risk for Alzheimer’s Disease in the blood: a cross-sectional multi-omic analysis in healthy adults aged 18-90+ L Heath, JC Earls, AT Magis, SA Kornilov, JC Lovejoy, CC Funk, ... bioRxiv, 2021.03. 26.437267, 2021 | 2 | 2021 |
| Reply to" Precision medicine in the clouds" AT Magis, JC Earls, G Glusman, GS Omenn, JC Lovejoy, ND Price, ... Nature biotechnology 36 (8), 680-682, 2018 | 2 | 2018 |
| Quantifying Wellness and Disease with Personal, Dense, Dynamic Data Clouds JC Earls University of Washington, 2020 | 1 | 2020 |
Nathan D. PriceProfessor, Buck Institute for Research on Aging在 buckinstitute.org 的电子邮件经过验证