Sparse multi-output Gaussian processes for online medical time series prediction LF Cheng, B Dumitrascu, G Darnell, C Chivers, M Draugelis, K Li, ... BMC medical informatics and decision making 20, 1-23, 2020 | 90 | 2020 |
Joint analysis of expression levels and histological images identifies genes associated with tissue morphology JT Ash, G Darnell, D Munro, BE Engelhardt Nature communications 12 (1), 1609, 2021 | 66 | 2021 |
Incorporating prior information into association studies G Darnell, D Duong, B Han, E Eskin Bioinformatics 28 (12), i147-i153, 2012 | 40 | 2012 |
Statistical tests for detecting variance effects in quantitative trait studies B Dumitrascu, G Darnell, J Ayroles, BE Engelhardt Bioinformatics 35 (2), 200-210, 2019 | 31 | 2019 |
Multi-scale inference of genetic trait architecture using biologically annotated neural networks P Demetci, W Cheng, G Darnell, X Zhou, S Ramachandran, L Crawford PLoS genetics 17 (8), e1009754, 2021 | 18 | 2021 |
Adaptive randomized dimension reduction on massive data G Darnell, S Georgiev, S Mukherjee, BE Engelhardt Journal of Machine Learning Research 18 (140), 1-30, 2017 | 15 | 2017 |
Joint analysis of gene expression levels and histological images identifies genes associated with tissue morphology. bioRxiv J Ash, G Darnell, D Munro, B Engelhardt Oct 4, 458711, 2018 | 8 | 2018 |
A bayesian test to identify variance effects B Dumitrascu, G Darnell, J Ayroles, BE Engelhardt arXiv preprint arXiv:1512.01616, 2015 | 7 | 2015 |
Accounting for statistical non-additive interactions enables the recovery of missing heritability from GWAS summary statistics SP Smith, G Darnell, D Udwin, A Harpak, S Ramachandran, L Crawford bioRxiv, 2022.07. 21.501001, 2022 | 4 | 2022 |
Physiomtl: Personalizing physiological patterns using optimal transport multi-task regression J Zhu, G Darnell, A Kumar, D Zhao, B Li, X Nguyen, SY Ren arXiv preprint arXiv:2203.12595, 2022 | 4 | 2022 |
Modeling heart rate response to exercise with wearables data A Nazaret, S Tonekaboni, G Darnell, S Ren, G Sapiro, A Miller NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 3 | 2022 |
Adaptive randomized dimension reduction on massive data G Darnell, S Georgiev, S Mukherjee, BE Engelhardt arXiv preprint arXiv:1504.03183, 2015 | 3 | 2015 |
Partitioning tagged non-additive genetic effects in summary statistics provides evidence of pervasive epistasis in complex traits. 2022 G Darnell, SP Smith, D Udwin, S Ramachandran, L Crawford URL https://www. biorxiv. org/content/early/2022/09/11/2022.07 21, 2022 | 2 | 2022 |
Latent space harmonization for predictive modeling N Fusi, J Listgarten, GB Darnell US Patent App. 17/143,397, 2021 | 2 | 2021 |
Pathway analysis within multiple human ancestries reveals novel signals for epistasis in complex traits MC Turchin, G Darnell, L Crawford, S Ramachandran bioRxiv, 2020.09. 24.312421, 2020 | 2 | 2020 |
Latent Temporal Flows for Multivariate Analysis of Wearables Data M Amiridi, G Darnell, S Jewell arXiv preprint arXiv:2210.07475, 2022 | 1 | 2022 |
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes W Cheng, G Darnell, S Ramachandran, L Crawford arXiv preprint arXiv:2007.10389, 2020 | 1 | 2020 |
Physiological predictions using machine learning A Miller, G Darnell, GR Sapiro, SS Tonekaboni, Y Ren, A Nazaret US Patent App. 18/076,367, 2024 | | 2024 |
Modeling personalized heart rate response to exercise and environmental factors with wearables data A Nazaret, S Tonekaboni, G Darnell, SY Ren, G Sapiro, AC Miller NPJ Digital Medicine 6 (1), 207, 2023 | | 2023 |
LatTe Flows: Latent Temporal Flows for Multivariate Sequence Analysis M Amiridi, G Darnell, S Jewell | | 2021 |