Adam Gayoso

ScholarGPS® ID: 98030640375800

Affiliation

University of California, Berkeley, Berkeley, United States

Affiliation History

Field

Life Sciences

Discipline

Biology and Biological Sciences

Top Specialties

Biotechnology | Cell Fate Determination

Metrics Summary

Publication Count

Predicted Citations

1,002

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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Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells (journal article) Gayoso, Adam \| Weiler, Philipp \| Lotfollahi, Mohammad \| Klein, Dominik \| Hong, Justin \| Streets, Aaron \| Theis, Fabian J. \| Yosef, Nir Nature Methods, volume 21, issue 1, pages 50-59 (2024). 10.1038/s41592-023-01994-w Cited by (5) \| Cite \| Source
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
PeakVI: A deep generative model for single-cell chromatin accessibility analysis (journal article) Ashuach, Tal \| Reidenbach, Daniel A. \| Gayoso, Adam \| Yosef, Nir Cell Reports Methods, volume 2, issue 3, pages 100182- (2022). 10.1016/j.crmeth.2022.100182 Cited by (31) \| 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
Mapping single-cell data to reference atlases by transfer learning (journal article) Lotfollahi, Mohammad \| Naghipourfar, Mohsen \| Luecken, Malte D. \| Khajavi, Matin \| Büttner, Maren \| Wagenstetter, Marco \| Avsec, Žiga \| Gayoso, Adam \| Yosef, Nir \| Interlandi, Marta \| ... \| Theis, Fabian J. Nature Biotechnology, volume 40, issue 1, pages 121-130 (2022). 10.1038/s41587-021-01001-7 Cited by (170) \| 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
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
Interpretable factor models of single-cell RNA-seq via variational autoencoders (journal article) Svensson, Valentine \| Gayoso, Adam \| Yosef, Nir \| Pachter, Lior Bioinformatics, volume 36, issue 11, pages 3418-3421 (2020). 10.1093/bioinformatics/btaa169 Cited by (84) \| Cite \| Source
Characterization of cell fate probabilities in single-cell data with Palantir (journal article) Setty, Manu \| Kiseliovas, Vaidotas \| Levine, Jacob \| Gayoso, Adam \| Mazutis, Linas \| Pe’er, Dana Nature Biotechnology, volume 37, issue 4, pages 451-460 (2019). 10.1038/s41587-019-0068-4 Cited by (268) \| Cite \| Source
Palantir characterizes cell fate continuities in human hematopoiesis (journal article) Setty, Manu \| Kiseliovas, Vaidotas \| Levine, Jacob \| Gayoso, Adam \| Mazutis, Linas \| Pe'er, Dana bioRxiv (2018). 10.1101/385328 Cited by (6) \| Cite \| Source \| Open Access
Stress-Adaptive Responses Associated with High-Level Carbapenem Resistance in KPC-Producing Klebsiella pneumoniae (journal article) Adams-Sapper, Sheila \| Gayoso, Adam \| Riley, Lee. W. Journal of Pathogens, volume 2018 (2018). 10.1155/2018/3028290 Cited by (3) \| Cite \| Source \| Open Access