| Gut bacteria from multiple sclerosis patients modulate human T cells and exacerbate symptoms in mouse models E Cekanaviciute, BB Yoo, TF Runia, JW Debelius, S Singh, CA Nelson, ... Proceedings of the National Academy of Sciences 114 (40), 10713-10718, 2017 | 888 | 2017 |
| Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings CA Nelson, AJ Butte, SE Baranzini Nature communications 10 (1), 3045, 2019 | 69 | 2019 |
| Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis CA Nelson, R Bove, AJ Butte, SE Baranzini Journal of the American Medical Informatics Association 29 (3), 424-434, 2022 | 31 | 2022 |
| The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information JH Morris, K Soman, RE Akbas, X Zhou, B Smith, EC Meng, CC Huang, ... Bioinformatics 39 (2), btad080, 2023 | 24 | 2023 |
| Knowledge network embedding of transcriptomic data from spaceflown mice uncovers signs and symptoms associated with terrestrial diseases CA Nelson, AU Acuna, AM Paul, RT Scott, AJ Butte, E Cekanaviciute, ... Life 11 (1), 42, 2021 | 19 | 2021 |
| Extending chemical perturbations of the ubiquitin fitness landscape in a classroom setting reveals new constraints on sequence tolerance D Mavor, KA Barlow, D Asarnow, Y Birman, D Britain, W Chen, EM Green, ... Biology Open 7 (7), bio036103, 2018 | 19 | 2018 |
| Mutations in domain IV of elongation factor EF-G confer− 1 frameshifting D Niblett, C Nelson, CS Leung, G Rexroad, J Cozy, J Zhou, L Lancaster, ... Rna 27 (1), 40-53, 2021 | 12 | 2021 |
| Analysis of SARS-CoV-2 known and novel subgenomic mRNAs in cell culture, animal model, and clinical samples using LeTRS, a bioinformatic tool to identify unique sequence … X Dong, R Penrice-Randal, H Goldswain, T Prince, N Randle, ... Gigascience 11, giac045, 2022 | 11 | 2022 |
| Biomonitoring and precision health in deep space supported by artificial intelligence RT Scott, LM Sanders, EL Antonsen, JJA Hastings, S Park, G Mackintosh, ... Nature Machine Intelligence 5 (3), 196-207, 2023 | 10 | 2023 |
| A biomedical open knowledge network harnesses the power of AI to understand deep human biology S Baranzini, K Börner, J Morris, C Nelson, K Soman, E Schleimer, ... AI magazine 43 (1), 46-58, 2022 | 10 | 2022 |
| Biological research and self-driving labs in deep space supported by artificial intelligence LM Sanders, RT Scott, JH Yang, AA Qutub, H Garcia Martin, DC Berrios, ... Nature Machine Intelligence 5 (3), 208-219, 2023 | 9 | 2023 |
| Beyond low earth orbit: biomonitoring, artificial intelligence, and precision space health RT Scott, EL Antonsen, LM Sanders, JJA Hastings, S Park, G Mackintosh, ... arXiv preprint arXiv:2112.12554, 2021 | 5 | 2021 |
| Biomedical knowledge graph-enhanced prompt generation for large language models K Soman, PW Rose, JH Morris, RE Akbas, B Smith, B Peetoom, ... arXiv preprint arXiv:2311.17330, 2023 | 4 | 2023 |
| Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph K Soman, CA Nelson, G Cerono, SM Goldman, SE Baranzini, EG Brown Frontiers in Medicine 10, 1081087, 2023 | 2 | 2023 |
| Beyond low earth orbit: biological research, artificial intelligence, and self-driving labs LM Sanders, JH Yang, RT Scott, AA Qutub, HG Martin, DC Berrios, ... arXiv preprint arXiv:2112.12582, 2021 | 2 | 2021 |
| Time-aware embeddings of clinical data using a knowledge graph K Soman, CA Nelson, G Cerono, SE Baranzini Pacific Symposium on Biocomputing 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 1 | 2022 |
| Identification and quantification of SARS-CoV-2 leader subgenomic mRNA gene junctions in nasopharyngeal samples shows phasic transcription in animal models of COVID-19 and … X Dong, R Penrice-Randal, H Goldswain, T Prince, N Randle, J Salguero, ... bioRxiv, 2021.03. 03.433753, 2021 | 1 | 2021 |
| Towards biomedical interpretability: methods for knowledge graph machine learning research in medicine C Nelson University of California, San Francisco, 2020 | 1 | 2020 |
| Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights AS Tang, KP Rankin, G Cerono, S Miramontes, H Mills, J Roger, B Zeng, ... Nature Aging, 1-17, 2024 | | 2024 |
| Predictive Modeling Leveraging Electronic Health Records Identifies Early Predictors of Alzheimer’s Disease AS Tang, KP Rankin, G Cerano, S Miramontes, H Mills, T Oskotsky, ... Alzheimer's & Dementia 19, e077061, 2023 | | 2023 |
