Zixuan Cang
Zixuan Cang
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions
Z Cang, GW Wei
PLoS computational biology 13 (7), e1005690, 2017
1242017
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening
Z Cang, L Mu, GW Wei
PLoS computational biology 14 (1), e1005929, 2018
882018
Integration of element specific persistent homology and machine learning for protein‐ligand binding affinity prediction
Z Cang, GW Wei
International journal for numerical methods in biomedical engineering 34 (2 …, 2018
852018
A topological approach for protein classification
Z Cang, L Mu, K Wu, K Opron, K Xia, GW Wei
Computational and Mathematical Biophysics 1 (open-issue), 2015
692015
Mathematical deep learning for pose and binding affinity prediction and ranking in D3R Grand Challenges
DD Nguyen, Z Cang, K Wu, M Wang, Y Cao, GW Wei
Journal of computer-aided molecular design 33 (1), 71-82, 2019
622019
Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homology
Z Cang, GW Wei
Bioinformatics 33 (22), 3549-3557, 2017
572017
Defining epidermal basal cell states during skin homeostasis and wound healing using single-cell transcriptomics
D Haensel, S Jin, P Sun, R Cinco, M Dragan, Q Nguyen, Z Cang, Y Gong, ...
Cell reports 30 (11), 3932-3947. e6, 2020
242020
A review of mathematical representations of biomolecular data
DD Nguyen, Z Cang, GW Wei
Physical Chemistry Chemical Physics 22 (8), 4343-4367, 2020
222020
Inferring spatial and signaling relationships between cells from single cell transcriptomic data
Z Cang, Q Nie
Nature communications 11 (1), 1-13, 2020
192020
A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation
M Wang, Z Cang, GW Wei
Nature Machine Intelligence 2 (2), 116-123, 2020
182020
Persistent cohomology for data with multicomponent heterogeneous information
Z Cang, GW Wei
SIAM Journal on Mathematics of Data Science 2 (2), 396-418, 2020
62020
Protein pocket detection via convex hull surface evolution and associated Reeb graph
R Zhao, Z Cang, Y Tong, GW Wei
Bioinformatics 34 (17), i830-i837, 2018
62018
Evolutionary homology on coupled dynamical systems with applications to protein flexibility analysis
Z Cang, E Munch, GW Wei
Journal of Applied and Computational Topology 4 (4), 481-507, 2020
4*2020
Systems and methods for drug design and discovery comprising applications of machine learning with differential geometric modeling
G Wei, D Nguyen, Z Cang
US Patent App. 17/043,551, 2021
2*2021
Structural cavities are critical to balancing stability and activity of a membrane-integral enzyme
R Guo, Z Cang, J Yao, M Kim, E Deans, G Wei, S Kang, H Hong
Proceedings of the National Academy of Sciences 117 (36), 22146-22156, 2020
22020
The landscape of cell-cell communication through single-cell transcriptomics
AA Almet, Z Cang, S Jin, Q Nie
Current opinion in systems biology, 2021
12021
A multiscale model via single-cell transcriptomics reveals robust patterning mechanisms during early mammalian embryo development
Z Cang, Y Wang, Q Wang, KWY Cho, W Holmes, Q Nie
PLoS computational biology 17 (3), e1008571, 2021
2021
DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging Data
F Maseda, Z Cang, Q Nie
Frontiers in Genetics 12, 2021
2021
Algebraic Topology and Machine Learning for Biomolecular Modeling
Z Cang
Michigan State University, 2018
2018
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Articles 1–19