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Shuiwang Ji

Showing results (61-70 of 71) with videos related to

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Science Advances|November 10, 2023
Examining graph neural networks for crystal structures: Limitations and opportunities for capturing periodicitySheng Gong, Keqiang Yan, Tian Xie, et al.
Arxiv|September 29, 2025
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic PotentialsCong Fu, Yuchao Lin, Zachary Krueger, et al.
Bioinformatics (Oxford, England)|December 5, 2013
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expressionLei Yuan, Cheng Pan, Shuiwang Ji, et al.
BMC Bioinformatics|December 31, 2013
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysisWenlu Zhang, Daming Feng, Rongjian Li, et al.
Chemical Science|March 27, 2025
Correction: DiffBP: generative diffusion of 3D molecules for target protein bindingHaitao Lin, Yufei Huang, Odin Zhang, et al.
Bioinformatics (Oxford, England)|February 18, 2022
Advanced graph and sequence neural networks for molecular property prediction and drug discoveryZhengyang Wang, Meng Liu, Youzhi Luo, et al.
Arxiv|July 17, 2025
A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic PotentialsCong Fu, Yuchao Lin, Zachary Krueger, et al.
Communications Biology|April 5, 2024
Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imagingKhush Patel, Ziqian Xie, Hao Yuan, et al.
Bioinformatics (Oxford, England)|October 14, 2011
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesisSudhir Kumar, Charlotte Konikoff, Bernard Van Emden, et al.
Nature Methods|August 1, 2024
Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasetsLinus Manubens-Gil, Zhi Zhou, Hanbo Chen, et al.
Pageof 8

Showing results (61-70 of 71) with videos related to

Sort By:
Pageof 8
Science Advances|November 10, 2023
Examining graph neural networks for crystal structures: Limitations and opportunities for capturing periodicitySheng Gong, Keqiang Yan, Tian Xie, et al.
Arxiv|September 29, 2025
Augmenting Molecular Graphs with Geometries via Machine Learning Interatomic PotentialsCong Fu, Yuchao Lin, Zachary Krueger, et al.
Bioinformatics (Oxford, England)|December 5, 2013
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expressionLei Yuan, Cheng Pan, Shuiwang Ji, et al.
BMC Bioinformatics|December 31, 2013
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysisWenlu Zhang, Daming Feng, Rongjian Li, et al.
Chemical Science|March 27, 2025
Correction: DiffBP: generative diffusion of 3D molecules for target protein bindingHaitao Lin, Yufei Huang, Odin Zhang, et al.
Bioinformatics (Oxford, England)|February 18, 2022
Advanced graph and sequence neural networks for molecular property prediction and drug discoveryZhengyang Wang, Meng Liu, Youzhi Luo, et al.
Arxiv|July 17, 2025
A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic PotentialsCong Fu, Yuchao Lin, Zachary Krueger, et al.
Communications Biology|April 5, 2024
Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imagingKhush Patel, Ziqian Xie, Hao Yuan, et al.
Bioinformatics (Oxford, England)|October 14, 2011
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in Drosophila embryogenesisSudhir Kumar, Charlotte Konikoff, Bernard Van Emden, et al.
Nature Methods|August 1, 2024
Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasetsLinus Manubens-Gil, Zhi Zhou, Hanbo Chen, et al.
Pageof 8