Lantian Yao
Orcid: 0000-0003-4554-6827
According to our database1,
Lantian Yao authored at least 21 papers
between 2021 and 2026.
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Bibliography
2026
Contrastive representation learning and capsule networks enable accurate identification of ferroptosis-related proteins.
J. Cheminformatics, December, 2026
CrossLinker: Aligning Relational and Sequential Contexts for Drug-Target Interaction Prediction in Cold-Start and Few-Shot Scenarios.
J. Chem. Inf. Model., 2026
2025
Graph-RPI: predicting RNA-protein interactions via graph autoencoder and self-supervised learning strategies.
Briefings Bioinform., May, 2025
StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.
J. Chem. Inf. Model., 2025
AFPDeepPred: A Deep Learning Framework for Accurate Identification of Antifreeze Proteins.
J. Chem. Inf. Model., 2025
MGCL-CAP: Masked Graph Contrastive Learning with Gated Cross-Attention for Chemical Allergenicity Prediction.
J. Chem. Inf. Model., 2025
StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.
J. Chem. Inf. Model., 2025
Toward high-efficiency, low-resource, and explainable neuropeptide prediction with MSKDNP.
Briefings Bioinform., 2025
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025
2024
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.
Briefings Bioinform., September, 2024
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
Briefings Bioinform., May, 2024
CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.
J. Chem. Inf. Model., 2024
2023
Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.
J. Chem. Inf. Model., December, 2023
Extraction of microRNA-target interaction sentences from biomedical literature by deep learning approach.
Briefings Bioinform., January, 2023
KinasePhos 3.0: Redesign and Expansion of the Prediction on Kinase-specific Phosphorylation Sites.
Genom. Proteom. Bioinform., 2023
2022
Integrating transformer and imbalanced multi-label learning to identify antimicrobial peptides and their functional activities.
Bioinform., December, 2022
dbPTM in 2022: an updated database for exploring regulatory networks and functional associations of protein post-translational modifications.
Nucleic Acids Res., 2022
dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data.
Nucleic Acids Res., 2022
miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.
Nucleic Acids Res., 2022
CircNet 2.0: an updated database for exploring circular RNA regulatory networks in cancers.
Nucleic Acids Res., 2022
2021
AVPIden: a new scheme for identification and functional prediction of antiviral peptides based on machine learning approaches.
Briefings Bioinform., 2021