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Zixuan Cang

Showing results (1-10 of 34) with videos related to

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Cell Reports Methods|March 31, 2026
Multiscale domain identification for spatial transcriptomics via persistent homologyPerry Beamer, Zixuan Cang
Arxiv|November 26, 2025
PHD-MS: Multiscale Domain Identification for Spatial Transcriptomics via Persistent HomologyPerry Beamer, Zixuan Cang
Briefings in Bioinformatics|April 18, 2024
Topological and geometric analysis of cell states in single-cell transcriptomic dataTram Huynh, Zixuan Cang
SIAM Journal on Applied Mathematics|September 2, 2025
SYNCHRONIZED OPTIMAL TRANSPORT FOR JOINT MODELING OF DYNAMICS ACROSS MULTIPLE SPACESZixuan Cang, Yanxiang Zhao
Nature Communications|May 1, 2020
Inferring spatial and signaling relationships between cells from single cell transcriptomic dataZixuan Cang, Qing Nie
Bioinformatics (Oxford, England)|October 17, 2017
Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homologyZixuan Cang, Guo-Wei Wei
Plos Computational Biology|July 28, 2017
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictionsZixuan Cang, Guo-Wei Wei
International Journal for Numerical Methods in Biomedical Engineering|July 6, 2017
Integration of element specific persistent homology and machine learning for protein-ligand binding affinity predictionZixuan Cang, Guo-Wei Wei
SIAM Journal on Mathematics of Data Science|July 5, 2021
Persistent Cohomology for Data With Multicomponent Heterogeneous InformationZixuan Cang, Guo-Wei Wei
Frontiers in Genetics|April 9, 2021
DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging DataFloyd Maseda, Zixuan Cang, Qing Nie
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Cell Reports Methods|March 31, 2026
Multiscale domain identification for spatial transcriptomics via persistent homologyPerry Beamer, Zixuan Cang
Arxiv|November 26, 2025
PHD-MS: Multiscale Domain Identification for Spatial Transcriptomics via Persistent HomologyPerry Beamer, Zixuan Cang
Briefings in Bioinformatics|April 18, 2024
Topological and geometric analysis of cell states in single-cell transcriptomic dataTram Huynh, Zixuan Cang
SIAM Journal on Applied Mathematics|September 2, 2025
SYNCHRONIZED OPTIMAL TRANSPORT FOR JOINT MODELING OF DYNAMICS ACROSS MULTIPLE SPACESZixuan Cang, Yanxiang Zhao
Nature Communications|May 1, 2020
Inferring spatial and signaling relationships between cells from single cell transcriptomic dataZixuan Cang, Qing Nie
Bioinformatics (Oxford, England)|October 17, 2017
Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homologyZixuan Cang, Guo-Wei Wei
Plos Computational Biology|July 28, 2017
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictionsZixuan Cang, Guo-Wei Wei
International Journal for Numerical Methods in Biomedical Engineering|July 6, 2017
Integration of element specific persistent homology and machine learning for protein-ligand binding affinity predictionZixuan Cang, Guo-Wei Wei
SIAM Journal on Mathematics of Data Science|July 5, 2021
Persistent Cohomology for Data With Multicomponent Heterogeneous InformationZixuan Cang, Guo-Wei Wei
Frontiers in Genetics|April 9, 2021
DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging DataFloyd Maseda, Zixuan Cang, Qing Nie
Pageof 4