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Eric D Sun

Showing results (1-10 of 20) with videos related to

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Journal of Vision|October 22, 2021
ImageNet-trained deep neural networks exhibit illusion-like response to the Scintillating gridEric D Sun, Ron Dekel
Neural Regeneration Research|March 16, 2026
Machine learning-based brain aging clocks: Tools for deeper insight into neural aging and rejuvenationAndrew Z Ding, Eric D Sun
Bioinformatics (Oxford, England)|June 28, 2024
SPRITE: improving spatial gene expression imputation with gene and cell networksEric D Sun, Rong Ma, James Zou
Nature Communications|February 11, 2023
A spectral method for assessing and combining multiple data visualizationsRong Ma, Eric D Sun, James Zou
Nature Computational Science|January 4, 2024
Dynamic visualization of high-dimensional dataEric D Sun, Rong Ma, James Zou
Proceedings of the National Academy of Sciences of the United States of America|August 21, 2020
Optimal control of aging in complex networksEric D Sun, Thomas C T Michaels, L Mahadevan
Biorxiv : the Preprint Server for Biology|January 23, 2026
SpatialProp: tissue perturbation modeling with spatially resolved single-cell transcriptomicsEric D Sun, Alejandro Buendia, Anne Brunet, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 28, 2024
Principled and interpretable alignability testing and integration of single-cell dataRong Ma, Eric D Sun, David Donoho, et al.
Neuron|January 9, 2025
Brain aging and rejuvenation at single-cell resolutionEric D Sun, Rahul Nagvekar, Angela N Pogson, et al.
Biorxiv : the Preprint Server for Biology|May 10, 2023
TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analysesEric D Sun, Rong Ma, Paloma Navarro Negredo, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Journal of Vision|October 22, 2021
ImageNet-trained deep neural networks exhibit illusion-like response to the Scintillating gridEric D Sun, Ron Dekel
Neural Regeneration Research|March 16, 2026
Machine learning-based brain aging clocks: Tools for deeper insight into neural aging and rejuvenationAndrew Z Ding, Eric D Sun
Bioinformatics (Oxford, England)|June 28, 2024
SPRITE: improving spatial gene expression imputation with gene and cell networksEric D Sun, Rong Ma, James Zou
Nature Communications|February 11, 2023
A spectral method for assessing and combining multiple data visualizationsRong Ma, Eric D Sun, James Zou
Nature Computational Science|January 4, 2024
Dynamic visualization of high-dimensional dataEric D Sun, Rong Ma, James Zou
Proceedings of the National Academy of Sciences of the United States of America|August 21, 2020
Optimal control of aging in complex networksEric D Sun, Thomas C T Michaels, L Mahadevan
Biorxiv : the Preprint Server for Biology|January 23, 2026
SpatialProp: tissue perturbation modeling with spatially resolved single-cell transcriptomicsEric D Sun, Alejandro Buendia, Anne Brunet, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 28, 2024
Principled and interpretable alignability testing and integration of single-cell dataRong Ma, Eric D Sun, David Donoho, et al.
Neuron|January 9, 2025
Brain aging and rejuvenation at single-cell resolutionEric D Sun, Rahul Nagvekar, Angela N Pogson, et al.
Biorxiv : the Preprint Server for Biology|May 10, 2023
TISSUE: uncertainty-calibrated prediction of single-cell spatial transcriptomics improves downstream analysesEric D Sun, Rong Ma, Paloma Navarro Negredo, et al.
Pageof 2