Xiaoyong Pan
Orcid: 0000-0001-5010-464X
According to our database1,
Xiaoyong Pan
authored at least 39 papers
between 2012 and 2023.
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Bibliography
2023
DG-Affinity: predicting antigen-antibody affinity with language models from sequences.
BMC Bioinform., December, 2023
MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering.
Bioinform., August, 2023
<i>De novo</i>drug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment.
Bioinform., April, 2023
Leveraging scaffold information to predict protein-ligand binding affinity with an empirical graph neural network.
Briefings Bioinform., January, 2023
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Symmetry, 2022
Fast protein structure comparison through effective representation learning with contrastive graph neural networks.
PLoS Comput. Biol., 2022
Nat. Comput. Sci., 2022
MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction.
Briefings Bioinform., 2022
circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier.
Briefings Bioinform., 2022
GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field.
Briefings Bioinform., 2022
2021
ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity.
Bioinform., 2021
lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning.
Bioinform., 2021
RNA-binding protein recognition based on multi-view deep feature and multi-label learning.
Briefings Bioinform., 2021
Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network.
Briefings Bioinform., 2021
2020
Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks.
Pattern Recognit., 2020
Signal-3L 3.0: Improving Signal Peptide Prediction through Combining Attention Deep Learning with Window-Based Scoring.
J. Chem. Inf. Model., 2020
Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data.
Bioinform., 2020
Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study.
IEEE Access, 2020
IEEE Access, 2020
2019
Location, inventory and testing decisions in closed-loop supply chains: A multimedia company.
IISE Trans., 2019
Sci. China Inf. Sci., 2019
Inferring disease-associated long non-coding RNAs using genome-wide tissue expression profiles.
Bioinform., 2019
Gene Expression Difference Between Primary and Metastatic Renal Cell Carcinoma Using Patient-Derived Xenografts.
IEEE Access, 2019
Identifying Essential Signature Genes and Expression Rules Associated With Distinctive Development Stages of Early Embryonic Cells.
IEEE Access, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
2018
Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network.
Neurocomputing, 2018
Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks.
Bioinform., 2018
The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier.
Bioinform., 2018
Prediction of RNA-protein interactions with distributed feature representations and a hybrid deep model.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018
2017
Attention based convolutional neural network for predicting RNA-protein binding sites.
CoRR, 2017
RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
BMC Bioinform., 2017
Database J. Biol. Databases Curation, 2017
2014
Predicting protein-RNA interaction amino acids using random forest based on submodularity subset selection.
Comput. Biol. Chem., 2014
2012
A carbon emission analysis model for electronics manufacturing process based on value-stream mapping and sensitivity analysis.
Int. J. Comput. Integr. Manuf., 2012
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012
Particle-Stabilized High Internal Phase Emulsions as Templates for Porous Nanocomposite Materials.
Proceedings of the Third International Conference on Digital Manufacturing & Automation, 2012