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Xiang Liu
Xiang Liu
Chern Institute of Mathematics, Nankai university
Verified email at mail.nankai.edu.cn - Homepage
Title
Cited by
Cited by
Year
Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design
X Liu, X Wang, J Wu, K Xia
Briefings in Bioinformatics 22 (5), bbaa411, 2021
362021
Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction
X Liu, H Feng, J Wu, K Xia
Briefings in bioinformatics 22 (5), bbab127, 2021
332021
Multiphysical graph neural network (MP-GNN) for COVID-19 drug design
XS Li, X Liu, L Lu, XS Hua, Y Chi, K Xia
Briefings in Bioinformatics 23 (4), bbac231, 2022
312022
Dowker complex based machine learning (DCML) models for protein-ligand binding affinity prediction
X Liu, H Feng, J Wu, K Xia
PLoS Computational Biology 18 (4), e1009943, 2022
222022
Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design
P Jiang, Y Chi, XS Li, Z Meng, X Liu, XS Hua, K Xia
Briefings in Bioinformatics 23 (1), bbab527, 2022
192022
Persistent path-spectral (pps) based machine learning for protein–ligand binding affinity prediction
R Liu, X Liu, J Wu
Journal of Chemical Information and Modeling 63 (3), 1066-1075, 2023
92023
Hom-Complex-Based Machine Learning (HCML) for the Prediction of Protein–Protein Binding Affinity Changes upon Mutation
X Liu, H Feng, J Wu, K Xia
Journal of chemical information and modeling 62 (17), 3961-3969, 2022
82022
Persistent tor-algebra for protein–protein interaction analysis
X Liu, H Feng, Z Lü, K Xia
Briefings in Bioinformatics 24 (2), bbad046, 2023
52023
Neighborhood complex based machine learning (NCML) models for drug design
X Liu, K Xia
Interpretability of Machine Intelligence in Medical Image Computing, and …, 2021
52021
Multiscale topological indices for the quantitative prediction of SARS COV-2 binding affinity change upon mutations
J Bi, JJ Wee, X Liu, C Qu, G Wang, K Xia
Journal of Chemical Information and Modeling 63 (13), 4216-4227, 2023
32023
Persistent Tor-algebra based stacking ensemble learning (PTA-SEL) for protein-protein binding affinity prediction
LIU Xiang, K Xia
ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022
32022
The metabolomic physics of complex diseases
S Wu, X Liu, A Dong, C Gragnoli, C Griffin, J Wu, ST Yau, R Wu
Proceedings of the National Academy of Sciences 120 (42), e2308496120, 2023
22023
Persistent Homology for RNA Data Analysis
K Xia, X Liu, JJ Wee
Homology Modeling: Methods and Protocols, 211-229, 2023
22023
Computing hypergraph homology
X Liu, H Feng, J Wu, K Xia
Foundations of Data Science 6 (2), 172-194, 2024
2024
Torsion Graph Neural Networks
C Shen, X Liu, J Luo, K Xia
arXiv preprint arXiv:2306.13541, 2023
2023
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