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Zhenqin Wu

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

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Nature Reviews. Cancer|April 28, 2023
Identifying spatial cellular structures with SPACE-GMZhenqin Wu
Bioinformatics (Oxford, England)|April 25, 2020
Predicting target genes of non-coding regulatory variants with IRTZhenqin Wu, Nilah M Ioannidis, James Zou
Journal of Proteomics|May 17, 2020
PB-Net: Automatic peak integration by sequential deep learning for multiple reaction monitoringZhenqin Wu, Daniel Serie, Gege Xu, et al.
The Journal of Physical Chemistry. B|October 25, 2016
Determination of Equilibrium Constant and Relative Brightness in Fluorescence Correlation Spectroscopy by Considering Third-Order CorrelationsZhenqin Wu, Huimin Bi, Sichen Pan, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
PEPSI: Polarity measurements from spatial proteomics imaging suggest immune cell engagementEric Wu, Zhenqin Wu, Aaron T Mayer, et al.
Journal of Chemical Information and Modeling|July 11, 2017
Is Multitask Deep Learning Practical for Pharma?Bharath Ramsundar, Bowen Liu, Zhenqin Wu, et al.
Physiological Reviews|April 27, 2023
Leveraging physiology and artificial intelligence to deliver advancements in health careAngela Zhang, Zhenqin Wu, Eric Wu, et al.
Chemical Science|April 10, 2018
MoleculeNet: a benchmark for molecular machine learningZhenqin Wu, Bharath Ramsundar, Evan N Feinberg, et al.
Nature Communications|April 3, 2026
Gungnir codec enabling high error-tolerance and low-redundancy DNA storage through substantial computing powerJingcheng Zhang, Lei Chen, Jinlin Sun, et al.
ACS Central Science|December 18, 2018
PotentialNet for Molecular Property PredictionEvan N Feinberg, Debnil Sur, Zhenqin Wu, et al.
Pageof 2

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

Sort By:
Pageof 2
Nature Reviews. Cancer|April 28, 2023
Identifying spatial cellular structures with SPACE-GMZhenqin Wu
Bioinformatics (Oxford, England)|April 25, 2020
Predicting target genes of non-coding regulatory variants with IRTZhenqin Wu, Nilah M Ioannidis, James Zou
Journal of Proteomics|May 17, 2020
PB-Net: Automatic peak integration by sequential deep learning for multiple reaction monitoringZhenqin Wu, Daniel Serie, Gege Xu, et al.
The Journal of Physical Chemistry. B|October 25, 2016
Determination of Equilibrium Constant and Relative Brightness in Fluorescence Correlation Spectroscopy by Considering Third-Order CorrelationsZhenqin Wu, Huimin Bi, Sichen Pan, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
PEPSI: Polarity measurements from spatial proteomics imaging suggest immune cell engagementEric Wu, Zhenqin Wu, Aaron T Mayer, et al.
Journal of Chemical Information and Modeling|July 11, 2017
Is Multitask Deep Learning Practical for Pharma?Bharath Ramsundar, Bowen Liu, Zhenqin Wu, et al.
Physiological Reviews|April 27, 2023
Leveraging physiology and artificial intelligence to deliver advancements in health careAngela Zhang, Zhenqin Wu, Eric Wu, et al.
Chemical Science|April 10, 2018
MoleculeNet: a benchmark for molecular machine learningZhenqin Wu, Bharath Ramsundar, Evan N Feinberg, et al.
Nature Communications|April 3, 2026
Gungnir codec enabling high error-tolerance and low-redundancy DNA storage through substantial computing powerJingcheng Zhang, Lei Chen, Jinlin Sun, et al.
ACS Central Science|December 18, 2018
PotentialNet for Molecular Property PredictionEvan N Feinberg, Debnil Sur, Zhenqin Wu, et al.
Pageof 2