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Michael I Jordan

Showing results (41-50 of 60) with videos related to

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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.
Molecular Systems Biology|January 25, 2021
Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative modelsChenling Xu, Romain Lopez, Edouard Mehlman, et al.
Plos Computational Biology|May 6, 2010
Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process modelDaniel Ting, Guoli Wang, Maxim Shapovalov, et al.
Journal of Bacteriology|January 22, 2005
Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responsesPrasad Gyaneshwar, Oleg Paliy, Jon McAuliffe, et al.
Bioinformatics (Oxford, England)|May 8, 2004
A statistical framework for genomic data fusionGert R G Lanckriet, Tijl De Bie, Nello Cristianini, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 11, 2016
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human SkinSindhu Ghanta, Michael I Jordan, Kivanc Kose, et al.
Nature|July 5, 2023
Skilful nowcasting of extreme precipitation with NowcastNetYuchen Zhang, Mingsheng Long, Kaiyuan Chen, et al.
Nature Methods|June 29, 2023
MultiVI: deep generative model for the integration of multimodal dataTal Ashuach, Mariano I Gabitto, Rohan V Koodli, et al.
Nature Communications|January 2, 2025
Functional protein mining with conformal guaranteesRon S Boger, Seyone Chithrananda, Anastasios N Angelopoulos, et al.
IEEE Signal Processing Magazine|December 24, 2013
Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurementsLawrence Carin, Richard G Baraniuk, Volkan Cevher, et al.
Pageof 6

Showing results (41-50 of 60) with videos related to

Sort By:
Pageof 6
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.
Molecular Systems Biology|January 25, 2021
Probabilistic harmonization and annotation of single-cell transcriptomics data with deep generative modelsChenling Xu, Romain Lopez, Edouard Mehlman, et al.
Plos Computational Biology|May 6, 2010
Neighbor-dependent Ramachandran probability distributions of amino acids developed from a hierarchical Dirichlet process modelDaniel Ting, Guoli Wang, Maxim Shapovalov, et al.
Journal of Bacteriology|January 22, 2005
Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responsesPrasad Gyaneshwar, Oleg Paliy, Jon McAuliffe, et al.
Bioinformatics (Oxford, England)|May 8, 2004
A statistical framework for genomic data fusionGert R G Lanckriet, Tijl De Bie, Nello Cristianini, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 11, 2016
A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human SkinSindhu Ghanta, Michael I Jordan, Kivanc Kose, et al.
Nature|July 5, 2023
Skilful nowcasting of extreme precipitation with NowcastNetYuchen Zhang, Mingsheng Long, Kaiyuan Chen, et al.
Nature Methods|June 29, 2023
MultiVI: deep generative model for the integration of multimodal dataTal Ashuach, Mariano I Gabitto, Rohan V Koodli, et al.
Nature Communications|January 2, 2025
Functional protein mining with conformal guaranteesRon S Boger, Seyone Chithrananda, Anastasios N Angelopoulos, et al.
IEEE Signal Processing Magazine|December 24, 2013
Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurementsLawrence Carin, Richard G Baraniuk, Volkan Cevher, et al.
Pageof 6