Ping Xuan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Clinical Evaluation

Top Venues

Journal of chemical information and modeling

Bioinformatics (Oxford, England)

BioMed research international

International journal of genomics

This page only lists publications with an associated author ORCID identifier.

Publications

Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Nakaguchi Toshiya, Cheng Liu, Tiangang Zhang
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinformatics (Oxford, England) 40 (2) (2024)
Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. Journal of chemical information and modeling (2024)
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. Journal of chemical information and modeling (2024)
Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Nakaguchi Toshiya, Cheng Liu, Tiangang Zhang
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinformatics (Oxford, England) 40 (2) (2024)
Ping Xuan, Wei Wang, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. Journal of chemical information and modeling 64 (16) (2024)
Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Nakaguchi Toshiya, Cheng Liu, Tiangang Zhang
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinformatics (Oxford, England) 40 (2) (2024)
Ping Xuan, Jing Gu, Hui Cui, Shuai Wang, Nakaguchi Toshiya, Cheng Liu, Tiangang Zhang
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. Bioinformatics (Oxford, England) 40 (2) (2024)
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. Journal of chemical information and modeling 64 (8) (2024)
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. Journal of chemical information and modeling 64 (8) (2024)
Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. Journal of chemical information and modeling 64 (8) (2024)
Shuai Wang, Cui Hui, Tiangang Zhang, Peiliang Wu, Toshiya Nakaguchi, Ping Xuan
Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. Journal of chemical information and modeling (2023)
Zhijun Liao, Yong Huang, Xiaodong Yue, Huijuan Lu, Ping Xuan, Ying Ju
In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches. BioMed research international 2016 (2016)
Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, Guishen Wang
Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology. International journal of genomics 2016 (2016)
Limin Jiang, Jingjun Zhang, Ping Xuan, Guishen Wang
BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species. BioMed research international 2016 (2016)