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Zixuan Cang
Zixuan Cang
Verified email at ncsu.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
3392017
Inferring spatial and signaling relationships between cells from single cell transcriptomic data
Z Cang, Q Nie
Nature communications 11 (1), 1-13, 2020
2992020
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
2452018
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
1822018
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
1792020
Screening cell–cell communication in spatial transcriptomics via collective optimal transport
Z Cang, Y Zhao, AA Almet, A Stabell, R Ramos, MV Plikus, SX Atwood, ...
Nature Methods, 1-11, 2023
1712023
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
1642020
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
1592019
The landscape of cell–cell communication through single-cell transcriptomics
AA Almet, Z Cang, S Jin, Q Nie
Current opinion in systems biology 26, 12-23, 2021
1522021
A topological approach for protein classification
Z Cang, L Mu, K Wu, K Opron, K Xia, GW Wei
Computational and Mathematical Biophysics 3 (1), 2015
1362015
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
1102017
A review of mathematical representations of biomolecular data
DD Nguyen, Z Cang, GW Wei
Physical Chemistry Chemical Physics 22 (8), 4343-4367, 2020
932020
Identifying multicellular spatiotemporal organization of cells with SpaceFlow
H Ren, BL Walker, Z Cang, Q Nie
Nature Communications 13 (1), 1-14, 2022
832022
Deciphering tissue structure and function using spatial transcriptomics
BL Walker, Z Cang, H Ren, E Bourgain-Chang, Q Nie
Communications Biology 5 (1), 1-10, 2022
712022
DEEPsc: a deep learning-based map connecting single-cell transcriptomics and spatial imaging data
F Maseda, Z Cang, Q Nie
Frontiers in Genetics 12, 636743, 2021
322021
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
30*2021
Single-cell transcriptomic analysis of zebrafish cranial neural crest reveals spatiotemporal regulation of lineage decisions during development
D Tatarakis, Z Cang, X Wu, PP Sharma, M Karikomi, AL MacLean, Q Nie, ...
Cell Reports 37 (12), 110140, 2021
292021
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
292018
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
262021
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
252020
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