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 | 36 | 2021 |
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 | 34 | 2021 |
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 | 32 | 2022 |
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 | 23 | 2022 |
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 | 19 | 2022 |
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 | 9 | 2023 |
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 | 8 | 2022 |
Persistent tor-algebra for protein–protein interaction analysis X Liu, H Feng, Z Lü, K Xia Briefings in Bioinformatics 24 (2), bbad046, 2023 | 5 | 2023 |
Neighborhood complex based machine learning (NCML) models for drug design X Liu, K Xia Interpretability of Machine Intelligence in Medical Image Computing, and …, 2021 | 5 | 2021 |
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 | 3 | 2023 |
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 | 3 | 2022 |
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 | 2 | 2023 |
Persistent Homology for RNA Data Analysis K Xia, X Liu, JJ Wee Homology Modeling: Methods and Protocols, 211-229, 2023 | 2 | 2023 |
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 |