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Gregory Darnell
Gregory Darnell
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Incorporating prior information into association studies
G Darnell, D Duong, B Han, E Eskin
Bioinformatics 28 (12), i147-i153, 2012
432012
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), 1-12, 2021
392021
Sparse multi-output Gaussian processes for medical time series prediction
LF Cheng, G Darnell, B Dumitrascu, C Chivers, ME Draugelis, K Li, ...
arXiv preprint arXiv:1703.09112, 2017
362017
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), 1-23, 2020
312020
Statistical tests for detecting variance effects in quantitative trait studies
B Dumitrascu, G Darnell, J Ayroles, BE Engelhardt
Bioinformatics 35 (2), 200-210, 2019
232019
Adaptive randomized dimension reduction on massive data
G Darnell, S Georgiev, S Mukherjee, BE Engelhardt
Journal of Machine Learning Research, 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
92018
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
82021
A bayesian test to identify variance effects
B Dumitrascu, G Darnell, J Ayroles, BE Engelhardt
arXiv preprint arXiv:1512.01616, 2015
72015
Adaptive randomized dimension reduction on massive data
G Darnell, S Georgiev, S Mukherjee, BE Engelhardt
arXiv preprint arXiv:1504.03183, 2015
32015
Multi-scale genomic inference using biologically annotated neural networks
P Demetci, W Cheng, G Darnell, X Zhou, S Ramachandran
bioRxiv, 2020
22020
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
12022
Latent Temporal Flows for Multivariate Analysis of Wearables Data
M Amiridi, G Darnell, S Jewell
2022
Partitioning Marginal Epistasis Distinguishes Nonlinear Effects from Polygenicity and Other Biases in GWA Summary Statistics
G Darnell, SP Smith, S Ramachandran, L Crawford
bioRxiv, 2022
2022
LatTe Flows: Latent Temporal Flows for Multivariate Sequence Analysis
M Amiridi, G Darnell, S Jewell
2021
Latent space harmonization for predictive modeling
N Fusi, J Listgarten, GB Darnell
US Patent App. 17/143,397, 2021
2021
Latent space harmonization for predictive modeling
N Fusi, J Listgarten, GB Darnell
US Patent 10,923,213, 2021
2021
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes
W Cheng, G Darnell, S Ramachandran, L Crawford
arXiv preprint arXiv:2007.10389, 2020
2020
Pathway Analysis within Multiple Human Ancestries Reveals Novel Signals for Epistasis in Complex Traits
MC Turchin, G Darnell, L Crawford, S Ramachandran
bioRxiv, 2020
2020
Associations and Confounding in High-Dimensional Genomics
GB Darnell
Princeton University, 2019
2019
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Articles 1–20