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Adam Gayoso

Showing results (1-10 of 17) with videos related to

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Molecular Systems Biology|September 25, 2020
Enhancing scientific discoveries in molecular biology with deep generative modelsRomain Lopez, Adam Gayoso, Nir Yosef
Bioinformatics (Oxford, England)|March 17, 2020
Interpretable factor models of single-cell RNA-seq via variational autoencodersValentine Svensson, Adam Gayoso, Nir Yosef, et al.
Journal of Pathogens|April 17, 2018
Stress-Adaptive Responses Associated with High-Level Carbapenem Resistance in KPC-Producing <i>Klebsiella pneumoniae</i>Sheila Adams-Sapper, Adam Gayoso, Lee W Riley
Cell Reports Methods|April 27, 2022
PeakVI: A deep generative model for single-cell chromatin accessibility analysisTal Ashuach, Daniel A Reidenbach, Adam Gayoso, et al.
Nature Biotechnology|September 20, 2019
Author Correction: Characterization of cell fate probabilities in single-cell data with PalantirManu Setty, Vaidotas Kiseliovas, Jacob Levine, et al.
Nature Biotechnology|March 23, 2019
Characterization of cell fate probabilities in single-cell data with PalantirManu Setty, Vaidotas Kiseliovas, Jacob Levine, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 16, 2023
An empirical Bayes method for differential expression analysis of single cells with deep generative modelsPierre Boyeau, Jeffrey Regier, Adam Gayoso, et al.
Nature Methods|February 16, 2021
Joint probabilistic modeling of single-cell multi-omic data with totalVIAdam Gayoso, Zoë Steier, Romain Lopez, et al.
Nature Methods|September 8, 2025
Scvi-hub: an actionable repository for model-driven single-cell analysisCan Ergen, Valeh Valiollah Pour Amiri, Martin Kim, et al.
Nature Methods|September 22, 2023
Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cellsAdam Gayoso, Philipp Weiler, Mohammad Lotfollahi, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Molecular Systems Biology|September 25, 2020
Enhancing scientific discoveries in molecular biology with deep generative modelsRomain Lopez, Adam Gayoso, Nir Yosef
Bioinformatics (Oxford, England)|March 17, 2020
Interpretable factor models of single-cell RNA-seq via variational autoencodersValentine Svensson, Adam Gayoso, Nir Yosef, et al.
Journal of Pathogens|April 17, 2018
Stress-Adaptive Responses Associated with High-Level Carbapenem Resistance in KPC-Producing <i>Klebsiella pneumoniae</i>Sheila Adams-Sapper, Adam Gayoso, Lee W Riley
Cell Reports Methods|April 27, 2022
PeakVI: A deep generative model for single-cell chromatin accessibility analysisTal Ashuach, Daniel A Reidenbach, Adam Gayoso, et al.
Nature Biotechnology|September 20, 2019
Author Correction: Characterization of cell fate probabilities in single-cell data with PalantirManu Setty, Vaidotas Kiseliovas, Jacob Levine, et al.
Nature Biotechnology|March 23, 2019
Characterization of cell fate probabilities in single-cell data with PalantirManu Setty, Vaidotas Kiseliovas, Jacob Levine, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 16, 2023
An empirical Bayes method for differential expression analysis of single cells with deep generative modelsPierre Boyeau, Jeffrey Regier, Adam Gayoso, et al.
Nature Methods|February 16, 2021
Joint probabilistic modeling of single-cell multi-omic data with totalVIAdam Gayoso, Zoë Steier, Romain Lopez, et al.
Nature Methods|September 8, 2025
Scvi-hub: an actionable repository for model-driven single-cell analysisCan Ergen, Valeh Valiollah Pour Amiri, Martin Kim, et al.
Nature Methods|September 22, 2023
Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cellsAdam Gayoso, Philipp Weiler, Mohammad Lotfollahi, et al.
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