Barbara E Engelhardt

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1 Finished
1 Active

CAREER: Recovering Complex Associations from High-Dimensional Genomic Data
Engelhardt, B. E.
NSF - National Science Foundation
2/15/18 → 1/31/23
Project: Research project
Statistical Models to Investigate Long Distance QTL Transcription Regulation
Engelhardt, B. E.
NIH NHGRI
9/1/14 → 6/30/16
Project: Research project

7039 Citations
31 h-Index
55 Article
6 Paper
5 Conference contribution
3 Conference article
More
- 2 Review article
- 1 Short survey

Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach
Prasad, N., Mandyam, A., Chivers, C., Draugelis, M., Hanson, C. W., Engelhardt, B. E. & Laudanski, K., May 2022, In: Journal of Personalized Medicine. 12, 5, 661.
Research output: Contribution to journal › Article › peer-review

Open Access
Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories
Cui, S., Yoo, E. C., Li, D., Laudanski, K. & Engelhardt, B. E., 2022, In: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 27, p. 266-277 12 p.
Research output: Contribution to journal › Article › peer-review
Active Multi-Fidelity Bayesian Online Changepoint Detection
Gundersen, G. W., Cai, D., Zhou, C., Engelhardt, B. E. & Adams, R. P., 2021, p. 1916-1926. 11 p.
Research output: Contribution to conference › Paper › peer-review
A self-exciting point process to study multicellular spatial signaling patterns
Verma, A., Jena, S. G., Isakov, D. R., Aoki, K., Toettcher, J. E. & Engelhardt, B. E., Aug 10 2021, In: Proceedings of the National Academy of Sciences of the United States of America. 118, 32, e2026123118.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Brain kernel: A new spatial covariance function for fMRI data
Wu, A., Nastase, S. A., Baldassano, C. A., Turk-Browne, N., Norman, K. A., Engelhardt, B. E. & Pillow, J. W., Dec 15 2021, In: Neuroimage. 245, 118580.
Research output: Contribution to journal › Article › peer-review

Open Access

Barbara E Engelhardt

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Dive into details

CAREER: Recovering Complex Associations from High-Dimensional Genomic Data

Statistical Models to Investigate Long Distance QTL Transcription Regulation

Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach

Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories

Active Multi-Fidelity Bayesian Online Changepoint Detection

A self-exciting point process to study multicellular spatial signaling patterns

Brain kernel: A new spatial covariance function for fMRI data

Barbara E Engelhardt

Fingerprint

Network

Projects

CAREER: Recovering Complex Associations from High-Dimensional Genomic Data

Statistical Models to Investigate Long Distance QTL Transcription Regulation

Research output

Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach

Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories

Active Multi-Fidelity Bayesian Online Changepoint Detection

A self-exciting point process to study multicellular spatial signaling patterns

Brain kernel: A new spatial covariance function for fMRI data