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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
2882017
Inferring spatial and signaling relationships between cells from single cell transcriptomic data
Z Cang, Q Nie
Nature communications 11 (1), 1-13, 2020
2182020
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
2182018
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
1702018
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
1422020
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
1412019
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
1242020
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
1162015
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
1152021
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
982017
A review of mathematical representations of biomolecular data
DD Nguyen, Z Cang, GW Wei
Physical Chemistry Chemical Physics 22 (8), 4343-4367, 2020
792020
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
702023
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
512022
Identifying multicellular spatiotemporal organization of cells with SpaceFlow
H Ren, BL Walker, Z Cang, Q Nie
Nature Communications 13 (1), 1-14, 2022
382022
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
28*2021
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
272018
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
252021
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
252021
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
242020
Persistent cohomology for data with multicomponent heterogeneous information
Z Cang, GW Wei
SIAM Journal on Mathematics of Data Science 2 (2), 396-418, 2020
222020
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