Uygar Sumbul, Ph.D.
Affiliations: | 2009 | Stanford University, Palo Alto, CA |
Area:
Electrical EngineeringGoogle:
"Uygar Sumbul"Mean distance: 35622
Parents
Sign in to add mentor| John Pauly | grad student | 2009 | Stanford | |
| (Improved time series reconstruction for dynamic magnetic resonance imaging.) | ||||
| H Sebastian Seung | post-doc | 2009-2014 | MIT | |
| Liam Paninski | post-doc | 2014-2017 | Columbia | |
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Publications
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| Marghi Y, Gala R, Baftizadeh F, et al. (2024) Publisher Correction: Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS. Nature Computational Science |
| Marghi Y, Gala R, Baftizadeh F, et al. (2024) Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS. Nature Computational Science. 4: 706-722 |
| Gliko O, Mallory M, Dalley R, et al. (2024) High-throughput analysis of dendrite and axonal arbors reveals transcriptomic correlates of neuroanatomy. Nature Communications. 15: 6337 |
| Sorensen SA, Gouwens NW, Wang Y, et al. (2023) Connecting single-cell transcriptomes to projectomes in mouse visual cortex. Biorxiv : the Preprint Server For Biology |
| Marghi Y, Gala R, Baftizadeh F, et al. (2023) Joint inference of discrete cell types and continuous type-specific variability in single-cell datasets with MMIDAS. Biorxiv : the Preprint Server For Biology |
| Covert I, Gala R, Wang T, et al. (2023) Predictive and robust gene selection for spatial transcriptomics. Nature Communications. 14: 2091 |
| Nandi A, Chartrand T, Van Geit W, et al. (2022) Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports. 41: 111659 |
| Nandi A, Chartrand T, Van Geit W, et al. (2022) Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types. Cell Reports. 40: 111176 |
| Gala R, Budzillo A, Baftizadeh F, et al. (2021) Consistent cross-modal identification of cortical neurons with coupled autoencoders. Nature Computational Science. 1: 120-127 |
| Liu YH, Smith S, Mihalas S, et al. (2021) Cell-type-specific neuromodulation guides synaptic credit assignment in a spiking neural network. Proceedings of the National Academy of Sciences of the United States of America. 118 |