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Gregory Darnell
Gregory Darnell
Verified email at princeton.edu
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Cited by
Year
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
892020
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
632021
Incorporating prior information into association studies
G Darnell, D Duong, B Han, E Eskin
Bioinformatics 28 (12), i147-i153, 2012
402012
Statistical tests for detecting variance effects in quantitative trait studies
B Dumitrascu, G Darnell, J Ayroles, BE Engelhardt
Bioinformatics 35 (2), 200-210, 2019
302019
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
182021
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
152017
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
82018
A bayesian test to identify variance effects
B Dumitrascu, G Darnell, J Ayroles, BE Engelhardt
arXiv preprint arXiv:1512.01616, 2015
72015
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
42022
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
42022
Adaptive randomized dimension reduction on massive data
G Darnell, S Georgiev, S Mukherjee, BE Engelhardt
arXiv preprint arXiv:1504.03183, 2015
32015
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
22022
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
22022
Latent space harmonization for predictive modeling
N Fusi, J Listgarten, GB Darnell
US Patent App. 17/143,397, 2021
22021
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
22020
Latent Temporal Flows for Multivariate Analysis of Wearables Data
M Amiridi, G Darnell, S Jewell
arXiv preprint arXiv:2210.07475, 2022
12022
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
W Cheng, G Darnell, S Ramachandran, L Crawford
arXiv preprint arXiv:2007.10389, 2020
12020
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
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