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Liang Yu 0002
Person information
- affiliation: Xidian University, School of Computer Science and Technology, Xi'an Key Laboratory of Computational Bioinformatics, Shaanxi, China
Other persons with the same name
- Liang Yu — disambiguation page
- Liang Yu 0001 — Nanjing University of Posts and Telecommunications, College of Automation and College of Artificial Intelligence, Nanjing, China (and 2 more)
- Liang Yu 0003 — Northwestern Polytechnical University, School of Civil Aviation, Xi'an, China (and 2 more)
- Liang Yu 0004 — Nanjing University, Institute of Mathematical Science and State key Laboratory for Novel Software Technology, Nanjing, China (and 3 more)
- Liang Yu 0005 — Alibaba Cloud Computing, Hangzhou, China (and 3 more)
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2020 – today
- 2025
- [j28]Zhaoyang Huang, Zhichao Xiao, Chunyan Ao, Lixin Guan, Liang Yu:
Computational approaches for predicting drug-disease associations: a comprehensive review. Frontiers Comput. Sci. 19(5): 195909 (2025) - 2024
- [j27]Ziqi Liu, Tao Bai, Bin Liu, Liang Yu:
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization. Comput. Biol. Medicine 175: 108289 (2024) - [j26]Shujie Ren, Lu Chen, Hongxia Hao, Liang Yu:
Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection. Future Gener. Comput. Syst. 160: 798-807 (2024) - 2023
- [j25]Lu Chen, Liang Yu, Lin Gao:
Potent antibiotic design via guided search from antibacterial activity evaluations. Bioinform. 39(2) (2023) - [j24]Kai Yang, Lin Gao, HongXia Hao, Liang Yu:
Identification of a novel gene signature for the prognosis of sepsis. Comput. Biol. Medicine 159: 106958 (2023) - [j23]Zhaoyang Huang, Shengjian Chen, Liang Yu:
Predicting new drug indications based on double variational autoencoders. Comput. Biol. Medicine 164: 107261 (2023) - [j22]Xinyu Xu, Lin Gao, Liang Yu:
GOLF-Net: Global and local association fusion network for COVID-19 lung infection segmentation. Comput. Biol. Medicine 164: 107361 (2023) - [c3]Liang Yu, Huan Zhu, Da Dong, Lin Gao:
Gene Expression Profile Prediction under Drug Action Based on Generative Adversarial Networks. BIBM 2023: 203-208 - [c2]Liang Yu, Lin Gao, Bo Li, Hongxia Hao, Lu Chen:
Application of Multi-Dimensional SNV Features in Supervised Learning. BIBM 2023: 4007-4013 - [i3]Chunyan Ao, Zhichao Xiao, Lixin Guan, Liang Yu:
Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review. CoRR abs/2309.06388 (2023) - 2022
- [j21]Chunyan Ao, Quan Zou, Liang Yu:
NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences. Briefings Bioinform. 23(1) (2022) - [j20]Liang Yu, Mingfei Xia, Qi An:
A network embedding framework based on integrating multiplex network for drug combination prediction. Briefings Bioinform. 23(1) (2022) - [j19]Liang Yu, Yujia Zheng, Lin Gao:
MiRNA-disease association prediction based on meta-paths. Briefings Bioinform. 23(2) (2022) - [j18]Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai:
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. 23(3) (2022) - [j17]Liang Yu, Yujia Zheng, Bingyi Ju, Chunyan Ao, Lin Gao:
Research progress of miRNA-disease association prediction and comparison of related algorithms. Briefings Bioinform. 23(3) (2022) - [j16]Shujie Ren, Liang Yu, Lin Gao:
Multidrug representation learning based on pretraining model and molecular graph for drug interaction and combination prediction. Bioinform. 38(18): 4387-4394 (2022) - [j15]Yanming Wei, Quan Zou, Furong Tang, Liang Yu:
WMSA: a novel method for multiple sequence alignment of DNA sequences. Bioinform. 38(22): 5019-5025 (2022) - [j14]Bo Li, Liang Yu, Lin Gao:
Cancer classification based on multiple dimensions: SNV patterns. Comput. Biol. Medicine 151(Part): 106270 (2022) - 2021
- [j13]Qi An, Liang Yu:
A heterogeneous network embedding framework for predicting similarity-based drug-target interactions. Briefings Bioinform. 22(6) (2021) - [j12]Xiang Wu, Liang Yu:
EPSOL: sequence-based protein solubility prediction using multidimensional embedding. Bioinform. 37(23): 4314-4320 (2021) - [j11]Yifan Shang, Lin Gao, Quan Zou, Liang Yu:
Prediction of drug-target interactions based on multi-layer network representation learning. Neurocomputing 434: 80-89 (2021) - [j10]Liang Yu, Meng Wang, Yang Yang, Fengdan Xu, Xu Zhang, Fei Xie, Lin Gao, Xiangzhi Li:
Predicting therapeutic drugs for hepatocellular carcinoma based on tissue-specific pathways. PLoS Comput. Biol. 17(2) (2021) - 2020
- [j9]Bingbo Wang, Jie Hu, Yajun Wang, Chenxing Zhang, Yuanjun Zhou, Liang Yu, Xingli Guo, Lin Gao, Yunru Chen:
C3: connect separate connected components to form a succinct disease module. BMC Bioinform. 21(1): 433 (2020) - [i2]Liang Yu, Mingfei Xia, Lin Gao:
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction. CoRR abs/2002.10625 (2020)
2010 – 2019
- 2019
- [j8]Liang Yu, Lin Gao:
Human Pathway-Based Disease Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1240-1249 (2019) - 2017
- [j7]Liang Yu, Jin Zhao, Lin Gao:
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome. Artif. Intell. Medicine 77: 53-63 (2017) - [j6]Xiaoke Ma, Liang Yu, Peizhuo Wang, Xiaofei Yang:
Discovering DNA methylation patterns for long non-coding RNAs associated with cancer subtypes. Comput. Biol. Chem. 69: 164-170 (2017) - [j5]Liang Yu, Ruidan Su, Bingbo Wang, Long Zhang, Yapeng Zou, Jing Zhang, Lin Gao:
Prediction of Novel Drugs for Hepatocellular Carcinoma Based on Multi-Source Random Walk. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 966-977 (2017) - [i1]Liang Yu, Jin Zhao, Lin Gao:
Predicting potential treatments for complex diseases based on miRNA and tissue specificity. CoRR abs/1708.01502 (2017) - 2016
- [j4]Liang Yu, Bingbo Wang, Xiaoke Ma, Lin Gao:
The extraction of drug-disease correlations based on module distance in incomplete human interactome. BMC Syst. Biol. 10(4): 531-539 (2016) - 2011
- [j3]Liang Yu, Lin Gao, Kui Li, Yi Zhao, David K. Y. Chiu:
A degree-distribution based hierarchical agglomerative clustering algorithm for protein complexes identification. Comput. Biol. Chem. 35(5): 298-307 (2011) - 2010
- [j2]Liang Yu, Lin Gao, Peng-Gang Sun:
A hybrid clustering algorithm for identifying modules in Protein - Protein Interaction networks. Int. J. Data Min. Bioinform. 4(5): 600-615 (2010) - [j1]Liang Yu, Lin Gao, Danyang Wang, Shaofeng Fu:
Quantitative function for community structure detection. Int. J. Data Min. Model. Manag. 2(4): 351-368 (2010) - [c1]Liang Yu, Lin Gao, Chuiliang Kong:
Identification of core-attachment complexes based on maximal frequent patterns in protein-protein interaction networks. BIBM Workshops 2010: 29-34
Coauthor Index
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