Barbara E Engelhardt

Computer Science

Former affiliations

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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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

3826 Citations
22 h-Index
38 Article
5 Paper
4 Conference contribution
3 Conference article
2 More
- 1 Short survey
- 1 Review article

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
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
Measuring the predictability of life outcomes with a scientific mass collaboration
Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., Datta, D., Davidson, T., Filippova, A., Gilroy, C., Goode, B. J., Jahani, E., Kashyap, R., Kirchner, A., McKay, S., Morgan, A. C. & 92 others, Pentland, A., Polimis, K., Raes, L., Rigobon, D. E., Roberts, C. V., Stanescu, D. M., Suhara, Y., Usmani, A., Wang, E. H., Adem, M., Alhajri, A., AlShebli, B., Amin, R., Amos, R. B., Argyle, L. P., Baer-Bositis, L., Büchi, M., Chung, B. R., Eggert, W., Faletto, G., Fan, Z., Freese, J., Gadgil, T., Gagné, J., Gao, Y., Halpern-Manners, A., Hashim, S. P., Hausen, S., He, G., Higuera, K., Hogan, B., Horwitz, I. M., Hummel, L. M., Jain, N., Jin, K., Jurgens, D., Kaminski, P., Karapetyan, A., Kim, E. H., Leizman, B., Liu, N., Möser, M., Mack, A. E., Mahajan, M., Mandell, N., Marahrens, H., Mercado-Garcia, D., Mocz, V., Mueller-Gastell, K., Musse, A., Niu, Q., Nowak, W., Omidvar, H., Or, A., Ouyang, K., Pinto, K. M., Porter, E., Porter, K. E., Qian, C., Rauf, T., Sargsyan, A., Schaffner, T., Schnabel, L., Schonfeld, B., Sender, B., Tang, J. D., Tsurkov, E., van Loon, A., Varol, O., Wang, J., Wang, F., Weissman, S., Whitaker, K., Wolters, M. K., Woon, W. L., Wang, X., Wang, Z., Wu, J., Wu, C., Yang, K., Yin, J., Zhao, B., Zhu, C., Brooks-Gunn, J., Engelhardt, B. E., Hardt, M., Knox, D., Levy, K., Narayanan, A., Stewart, B. M., Watts, D. J. & McLanahan, S., Apr 14 2020, In : Proceedings of the National Academy of Sciences of the United States of America. 117, 15, p. 8398-8403 6 p.
Research output: Contribution to journal › Article › peer-review

Open Access
8 Scopus citations
NetNMF-SC: Leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis
Elyanow, R., Dumitrascu, B., Engelhardt, B. E. & Raphael, B. J., 2020, In : Genome Research. 30, 2, p. 195-204 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Sparse multi-output Gaussian processes for online medical time series prediction
Cheng, L. F., Dumitrascu, B., Darnell, G., Chivers, C., Draugelis, M., Li, K. & Engelhardt, B. E., Jul 8 2020, In : BMC Medical Informatics and Decision Making. 20, 1, 152.
Research output: Contribution to journal › Article › peer-review

Open Access

CAREER: Recovering Complex Associations from High-Dimensional Genomic Data

Statistical Models to Investigate Long Distance QTL Transcription Regulation

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

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

Measuring the predictability of life outcomes with a scientific mass collaboration

NetNMF-SC: Leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis

Sparse multi-output Gaussian processes for online medical time series prediction