| Deep generative modeling for single-cell transcriptomics R Lopez, J Regier, MB Cole, MI Jordan, N Yosef Nature Methods 15 (12), 1053-1058, 2018 | 292 | 2018 |
| Scrublet: computational identification of cell doublets in single-cell transcriptomic data SL Wolock, R Lopez, AM Klein Cell Systems, 357368, 2019 | 206 | 2019 |
| Information Constraints on Auto-Encoding Variational Bayes R Lopez, J Regier, N Yosef, MI Jordan Advances in Neural Information Processing Systems, 2018 | 40 | 2018 |
| Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative models C Xu, R Lopez, E Mehlman, J Regier, MI Jordan, N Yosef Molecular Systems Biology (in press), 2020 | 16* | 2020 |
| A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements R Lopez, A Nazaret, M Langevin, J Samaran, J Regier, MI Jordan, ... ICML workshop in Computational Biology, 2019 | 9 | 2019 |
| A deep generative model for gene expression profiles from single-cell RNA sequencing R Lopez, J Regier, M Cole, M Jordan, N Yosef Bay Area Machine Learning Symposium, arXiv preprint arXiv:1709.02082, 2017 | 8 | 2017 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes R Lopez, J Regier, M Cole, M Jordan, N Yosef NIPS workshop: Machine Learning in Computational Biology, arXiv preprint …, 2017 | 6 | 2017 |
| Enhancing scientific discoveries in molecular biology with deep generative models R Lopez, A Gayoso, N Yosef Molecular Systems Biology 16 (9), e9198, 2020 | 4 | 2020 |
| Cost-Effective Incentive Allocation via Structured Counterfactual Inference R Lopez, C Li, X Yan, J Xiong, MI Jordan, Y Qi, L Song AAAI Conference on Artificial Intelligence, 2020 | 3 | 2020 |
| Decision-Making with Auto-Encoding Variational Bayes R Lopez, P Boyeau, N Yosef, MI Jordan, J Regier Advances in Neural Information Processing Systems, 2020 | 2 | 2020 |
| Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells A Gayoso, Z Steier, R Lopez, J Regier, KL Nazor, A Streets, N Yosef Nature Methods (in press), 2020 | 2 | 2020 |
| A Joint Model of RNA Expression and Surface Protein Abundance in Single Cells A Gayoso, R Lopez, Z Steier, J Regier, A Streets, N Yosef Machine Learning in Computational Biology (MLCB) meeting, 2019 | 2 | 2019 |
| Deep Generative Models for Detecting Differential Expression in Single Cells P Boyeau, R Lopez, J Regier, A Gayoso, MI Jordan, N Yosef Machine Learning in Computational Biology (MLCB) meeting, 2019 | 2 | 2019 |
| A Deep Generative Model for Semi-Supervised Classification with Noisy Labels M Langevin, E Mehlman, J Regier, R Lopez, MI Jordan, N Yosef Bay Area Machine Learning Symposium, arXiv preprint arXiv:1809.05957, 2018 | 2 | 2018 |
| Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data O Clivio, R Lopez, J Regier, A Gayoso, MI Jordan, N Yosef Machine Learning in Computational Biology (MLCB) meeting, 2019 | 1 | 2019 |
| Learning from eXtreme Bandit Feedback R Lopez, I Dhillon, MI Jordan AAAI Conference in Artificial Intelligence, 2021 | | 2021 |
Jeffrey RegierAssistant Professor, Department of Statistics, University of MichiganVerified email at umich.edu
