Romain Lopez

ScholarGPS® ID: 12483755261637

Affiliation

University of California, Berkeley, Berkeley, United States

Affiliation History

Field

Engineering and Computer Science

Discipline

Computer Science

Top Specialties

Transcriptomics Technologies | Omics

Metrics Summary

Publication Count

Predicted Citations

1,648

Predicted h-index

Ranking

Publications and Citation History

Publications based on Top Specialties

Types of Publication

Publications
Books
Patents
NIH/NSF

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An empirical Bayes method for differential expression analysis of single cells with deep generative models (journal article) Boyeau, Pierre \| Regier, Jeffrey \| Gayoso, Adam \| Jordan, Michael I. \| Lopez, Romain \| Yosef, Nir Proceedings of the National Academy of Sciences, volume 120, issue 21 (2023). 10.1073/pnas.2209124120 Cited by (6) \| Cite \| Source
DestVI identifies continuums of cell types in spatial transcriptomics data (journal article) Lopez, Romain \| Li, Baoguo \| Keren-Shaul, Hadas \| Boyeau, Pierre \| Kedmi, Merav \| Pilzer, David \| Jelinski, Adam \| Yofe, Ido \| David, Eyal \| Wagner, Allon \| ... \| Yosef, Nir Nature Biotechnology, volume 40, issue 9, pages 1360-1369 (2022). 10.1038/s41587-022-01272-8 Cited by (72) \| Cite \| Source
A Python library for probabilistic analysis of single-cell omics data (journal article) Gayoso, Adam \| Lopez, Romain \| Xing, Galen \| Boyeau, Pierre \| Valiollah Pour Amiri, Valeh \| Hong, Justin \| Wu, Katherine \| Jayasuriya, Michael \| Mehlman, Edouard \| Langevin, Maxime \| ... \| Yosef, Nir Nature Biotechnology, volume 40, issue 2, pages 163-166 (2022). 10.1038/s41587-021-01206-w Cited by (145) \| Cite \| Source
Learning from eXtreme Bandit Feedback (journal article) Lopez, Romain \| Dhillon, Inderjit S. \| Jordan, Michael I. Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, issue 10, pages 8732-8740 (2021). 10.1609/aaai.v35i10.17058 Cited by (6) \| Cite \| Source
Joint probabilistic modeling of single-cell multi-omic data with totalVI (journal article) Gayoso, Adam \| Steier, Zoë \| Lopez, Romain \| Regier, Jeffrey \| Nazor, Kristopher L. \| Streets, Aaron \| Yosef, Nir Nature Methods, volume 18, issue 3, pages 272-282 (2021). 10.1038/s41592-020-01050-x Cited by (182) \| Cite \| Source
Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models (journal article) Xu, Chenling \| Lopez, Romain \| Mehlman, Edouard \| Regier, Jeffrey \| Jordan, Michael I \| Yosef, Nir Molecular Systems Biology, volume 17, issue 1 (2021). 10.15252/msb.20209620 Cited by (149) \| Cite \| Source
Enhancing scientific discoveries in molecular biology with deep generative models (journal article) Lopez, Romain \| Gayoso, Adam \| Yosef, Nir Molecular Systems Biology, volume 16, issue 9 (2020). 10.15252/msb.20199198 Cited by (30) \| Cite \| Source
Cost-Effective Incentive Allocation via Structured Counterfactual Inference (journal article) Lopez, Romain \| Li, Chenchen \| Yan, Xiang \| Xiong, Junwu \| Jordan, Michael \| Qi, Yuan \| Song, Le Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, issue 04, pages 4997-5004 (2020). 10.1609/aaai.v34i04.5939 Cited by (6) \| Cite \| Source
Deep generative modeling for single-cell transcriptomics (journal article) Lopez, Romain \| Regier, Jeffrey \| Cole, Michael B. \| Jordan, Michael I. \| Yosef, Nir Nature Methods, volume 15, issue 12, pages 1053-1058 (2018). 10.1038/s41592-018-0229-2 Cited by (864) \| Cite \| Source
Scrublet: computational identification of cell doublets in single-cell transcriptomic data (journal article) Wolock, Samuel L. \| Lopez, Romain \| Klein, Allon M. bioRxiv (2018). 10.1101/357368 Cited by (19) \| Cite \| Source \| Open Access
Bayesian Inference for a Generative Model of Transcriptome Profiles from Single-cell RNA Sequencing (journal article) Lopez, Romain \| Regier, Jeffrey \| Cole, Michael B. \| Jordan, Michael I. \| Yosef, Nir bioRxiv (2018). 10.1101/292037 Cited by (15) \| Cite \| Source \| Open Access