Barbara E Engelhardt

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6 Similar Profiles

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

4414 Citations
25 h-Index
42 Article
5 Paper
4 Conference contribution
3 Conference article
More
- 1 Short survey
- 1 Review article

Causal network inference from gene transcriptional time-series response to glucocorticoids
Lu, J., Dumitrascu, B., McDowell, I. C., Jo, B., Barrera, A., Hong, L. K., Leichter, S. M., Reddy, T. E. & Engelhardt, B. E., Jan 29 2021, In: PLoS computational biology. 17, 1, e1008223.
Research output: Contribution to journal › Article › peer-review

Open Access
Joint analysis of expression levels and histological images identifies genes associated with tissue morphology
Ash, J. T., Darnell, G., Munro, D. & Engelhardt, B. E., Dec 2021, In: Nature communications. 12, 1, 1609.
Research output: Contribution to journal › Article › peer-review

Open Access
Optimal marker gene selection for cell type discrimination in single cell analyses
Dumitrascu, B., Villar, S., Mixon, D. G. & Engelhardt, B. E., Dec 2021, In: Nature communications. 12, 1, 1186.
Research output: Contribution to journal › Article › peer-review

Open Access
A robust nonlinear low-dimensional manifold for single cell RNA-seq data
Verma, A. & Engelhardt, B. E., Jul 21 2020, In: BMC bioinformatics. 21, 1, 324.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning
Prasad, N., Engelhardt, B. & Doshi-Velez, F., Feb 4 2020, ACM CHIL 2020 - Proceedings of the 2020 ACM Conference on Health, Inference, and Learning. Association for Computing Machinery, Inc, p. 1-9 9 p. (ACM CHIL 2020 - Proceedings of the 2020 ACM Conference on Health, Inference, and Learning).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access

Barbara E Engelhardt

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CAREER: Recovering Complex Associations from High-Dimensional Genomic Data

Statistical Models to Investigate Long Distance QTL Transcription Regulation

Causal network inference from gene transcriptional time-series response to glucocorticoids

Joint analysis of expression levels and histological images identifies genes associated with tissue morphology

Optimal marker gene selection for cell type discrimination in single cell analyses

A robust nonlinear low-dimensional manifold for single cell RNA-seq data

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning

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

Causal network inference from gene transcriptional time-series response to glucocorticoids

Joint analysis of expression levels and histological images identifies genes associated with tissue morphology

Optimal marker gene selection for cell type discrimination in single cell analyses

A robust nonlinear low-dimensional manifold for single cell RNA-seq data

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning