Liang Yu
Orcid: 0000-0002-8351-3332Affiliations:
- Xidian University, School of Computer Science and Technology, Xi'an Key Laboratory of Computational Bioinformatics, Shaanxi, China
According to our database1,
Liang Yu
authored at least 33 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection.
Future Gener. Comput. Syst., 2024
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization.
Comput. Biol. Medicine, 2024
2023
GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation.
Comput. Biol. Medicine, September, 2023
Comput. Biol. Medicine, September, 2023
Comput. Biol. Medicine, June, 2023
Bioinform., February, 2023
Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review.
CoRR, 2023
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Bioinform., November, 2022
Comput. Biol. Medicine, 2022
Multidrug representation learning based on pretraining model and molecular graph for drug interaction and combination prediction.
Bioinform., 2022
Research progress of miRNA-disease association prediction and comparison of related algorithms.
Briefings Bioinform., 2022
A network embedding framework based on integrating multiplex network for drug combination prediction.
Briefings Bioinform., 2022
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.
Briefings Bioinform., 2022
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences.
Briefings Bioinform., 2022
2021
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways.
PLoS Comput. Biol., 2021
Prediction of drug-target interactions based on multi-layer network representation learning.
Neurocomputing, 2021
EPSOL: sequence-based protein solubility prediction using multidimensional embedding.
Bioinform., 2021
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions.
Briefings Bioinform., 2021
2020
BMC Bioinform., December, 2020
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction.
CoRR, 2020
2019
2017
Prediction of Novel Drugs for Hepatocellular Carcinoma Based on Multi-Source Random Walk.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Predicting potential treatments for complex diseases based on miRNA and tissue specificity.
CoRR, 2017
Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes.
Comput. Biol. Chem., 2017
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.
Artif. Intell. Medicine, 2017
2016
The extraction of drug-disease correlations based on module distance in incomplete human interactome.
BMC Syst. Biol., 2016
2011
A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification.
Comput. Biol. Chem., 2011
2010
Int. J. Data Min. Model. Manag., 2010
A hybrid clustering algorithm for identifying modules in Protein - Protein Interaction networks.
Int. J. Data Min. Bioinform., 2010
Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010