Cang, Zixuan

TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions

Cang, Z., & Wei, G.-W. (2017) · PLOS Computational Biology

Topological and Geometric Data AnalysisComputational Drug Discovery Methods

Cited by 330

Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening

Cang, Z., Mu, L., & Wei, G.-W. (2018) · PLOS Computational Biology

Computational Drug Discovery MethodsTopological and Geometric Data Analysis

Cited by 257

A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation

Wang, M., Cang, Z., & Wei, G.-W. (2020) · Nature Machine Intelligence

Machine Learning in BioinformaticsTopological and Geometric Data Analysis

Cited by 202

The landscape of cell–cell communication through single-cell transcriptomics

Almet, A. A., Cang, Z., Jin, S., & Nie, Q. (2021) · Current Opinion in Systems Biology

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 197

Integration of element specific persistent homology and machine learning for protein‐ligand binding affinity prediction

Cang, Z., & Wei, G. (2018) · International Journal for Numerical Methods in Biomedical Engineering

Topological and Geometric Data AnalysisComputational Drug Discovery Methods

Cited by 172

Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges

Nguyen, D. D., Cang, Z., Wu, K., Wang, M., Cao, Y., & Wei, G.-W. (2019) · Journal of Computer-Aided Molecular Design

Computational Drug Discovery MethodsMachine Learning in Materials Science

Cited by 155

A topological approach for protein classification

Cang, Z., Mu, L., Wu, K., Opron, K., Xia, K., & Wei, G.-W. (2015) · Computational and Mathematical Biophysics

Topological and Geometric Data AnalysisMachine Learning in Bioinformatics

Cited by 93