Barbara Elizabeth Engelhardt
Affiliations: | Biostatistics & Bioinformatics | Duke University, Durham, NC | |
| Computer Science | Princeton University, Princeton, NJ |
Area:
Machine learning, Bayesian statistics, statistical genetics, computational biology, quantitative genetics.Website:
http://www.genome.duke.edu/directory/faculty/engelhardt/Google:
"Barbara Engelhardt"Mean distance: 14.44 (cluster 29) | S | N | B | C | P |
Cross-listing: Computer Science Tree
Parents
Sign in to add mentor| Michael I. Jordan | grad student | 2007 | UC Berkeley | |
| (Predicting protein molecular function.) | ||||
| Matthew Stephens | post-doc | Chicago | ||
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Publications
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| Oliva M, Muñoz-Aguirre M, Kim-Hellmuth S, et al. (2020) The impact of sex on gene expression across human tissues. Science (New York, N.Y.). 369 |
| Salganik MJ, Lundberg I, Kindel AT, et al. (2020) Measuring the predictability of life outcomes with a scientific mass collaboration. Proceedings of the National Academy of Sciences of the United States of America |
| Elyanow R, Dumitrascu B, Engelhardt BE, et al. (2020) netNMF-sc: leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysis. Genome Research |
| Dumitrascu B, Darnell G, Ayroles J, et al. (2018) Statistical tests for detecting variance effects in quantitative trait studies. Bioinformatics (Oxford, England) |
| Aguiar D, Cheng LF, Dumitrascu B, et al. (2018) Bayesian nonparametric discovery of isoforms and individual specific quantification. Nature Communications. 9: 1681 |
| McDowell IC, Manandhar D, Vockley CM, et al. (2018) Clustering gene expression time series data using an infinite Gaussian process mixture model. Plos Computational Biology. 14: e1005896 |
| Srivastava S, Engelhardt BE, Dunson DB. (2017) Expandable factor analysis. Biometrika. 104: 649-663 |
| et al. (2017) Genetic effects on gene expression across human tissues. Nature. 550: 204-213 |
| Saha A, Kim Y, Gewirtz ADH, et al. (2017) Co-expression networks reveal the tissue-specific regulation of transcription and splicing. Genome Research |
| Tonner PD, Darnell CL, Engelhardt BE, et al. (2016) Detecting differential growth of microbial populations with Gaussian process regression. Genome Research |