2024
Dual-View Learning Based on Images and Sequences for Molecular Property Prediction.
IEEE J. Biomed. Health Informatics, March, 2024
ECD-CDGI: An efficient energy-constrained diffusion model for cancer driver gene identification.
PLoS Comput. Biol., 2024
An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy.
J. Chem. Inf. Model., 2024
ML-NPI: Predicting Interactions between Noncoding RNA and Protein Based on Meta-Learning in a Large-Scale Dynamic Graph.
J. Chem. Inf. Model., 2024
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders.
Future Gener. Comput. Syst., 2024
Multi-source data integration for explainable miRNA-driven drug discovery.
Future Gener. Comput. Syst., 2024
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor.
CoRR, 2024
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design.
CoRR, 2024
Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning.
Comput. Biol. Medicine, 2024
Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction.
Comput. Biol. Medicine, 2024
MR2CPPIS: Accurate prediction of protein-protein interaction sites based on multi-scale Res2Net with coordinate attention mechanism.
Comput. Biol. Medicine, 2024
A Novel Approach for Subtype Identification via Multi-omics Data Using Adversarial Autoencoder.
Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024
Dual-Stream Heterogeneous Graph Neural Network Based on Zero-Shot Embeddings for Predicting miRNA-Drug Sensitivity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
MHAM-NPI: Predicting ncRNA-protein interactions based on multi-head attention mechanism.
Comput. Biol. Medicine, September, 2023
GCFMCL: predicting miRNA-drug sensitivity using graph collaborative filtering and multi-view contrastive learning.
Briefings Bioinform., July, 2023
MPCLCDA: predicting circRNA-disease associations by using automatically selected meta-path and contrastive learning.
Briefings Bioinform., July, 2023
HeadTailTransfer: An efficient sampling method to improve the performance of graph neural network method in predicting sparse ncRNA-protein interactions.
Comput. Biol. Medicine, May, 2023
NSRGRN: a network structure refinement method for gene regulatory network inference.
Briefings Bioinform., May, 2023
2022
A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions.
Concurr. Comput. Pract. Exp., 2022
Predicting ncRNA-protein interactions based on dual graph convolutional network and pairwise learning.
Briefings Bioinform., 2022
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagation.
Briefings Bioinform., 2022
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder.
Briefings Bioinform., 2022
NSCGRN: a network structure control method for gene regulatory network inference.
Briefings Bioinform., 2022
2021
ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation.
Briefings Bioinform., July, 2021
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor.
Bioinform., 2021
Drug repositioning based on the heterogeneous information fusion graph convolutional network.
Briefings Bioinform., 2021
Nonnegative Matrix Factorization Framework for Disease-Related CircRNA Prediction.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021
2020
StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency.
Bioinform., 2020
2019
Improved Prediction of Cell-Penetrating Peptides via Effective Orchestrating Amino Acid Composition Feature Representation.
IEEE Access, 2019
2018
Improved DNA-Binding Protein Identification by Incorporating Evolutionary Information Into the Chou's PseAAC.
IEEE Access, 2018