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Yushi Luan
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- affiliation: Dalian University of Technology, Liaoning, China
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Journal Articles
- 2024
- [j20]Zhaowei Wang
, Jun Meng
DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions. Expert Syst. Appl. 252: 124168 (2024) - [j19]Haibin Li, Jun Meng, Zhaowei Wang
miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning. J. Chem. Inf. Model. 64(7): 2889-2900 (2024) - 2023
- [j18]Siyuan Zhao
Identification of small open reading frames in plant lncRNA using class-imbalance learning. Comput. Biol. Medicine 157: 106773 (2023) - [j17]Zhaowei Wang
PAMPred: A hierarchical evolutionary ensemble framework for identifying plant antimicrobial peptides. Comput. Biol. Medicine 166: 107545 (2023) - 2022
- [j16]Qiang Kang
Mining plant endogenous target mimics from miRNA-lncRNA interactions based on dual-path parallel ensemble pruning method. Briefings Bioinform. 23(1) (2022) - [j15]Qiang Kang
RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction. Briefings Bioinform. 23(3) (2022) - [j14]Siyuan Zhao
Identifying LncRNA-Encoded Short Peptides Using Optimized Hybrid Features and Ensemble Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2873-2881 (2022) - 2021
- [j13]Zhicheng Wang
Optimized combination methods for exploring and verifying disease-resistant transcription factors in melon. Briefings Bioinform. 22(4) (2021) - [j12]Jun Meng, Qiang Kang
PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles. BMC Bioinform. 22-S(3): 242 (2021) - [j11]Haoran Zhou, Jael Sanyanda Wekesa
PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions. BMC Bioinform. 22-S(3): 415 (2021) - [j10]Jael Sanyanda Wekesa
Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis. J. Comput. Biol. 28(1): 1-18 (2021) - 2020
- [j9]Qiang Kang
PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction. Bioinform. 36(10): 2986-2992 (2020) - 2018
- [j8]Jun Meng, Dingling Jiang, Jing Zhang, Yushi Luan:
Ensemble classification for gene expression data based on parallel clustering. Int. J. Data Min. Bioinform. 20(3): 213-229 (2018) - 2017
- [j7]Jun Meng, Jing Zhang, Yushi Luan, Xinyu He
Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation. Comput. Biol. Medicine 87: 8-21 (2017) - 2016
- [j6]Jun Meng, Guan-Li Shi, Yushi Luan:
Plant miRNA function prediction based on functional similarity network and transductive multi-label classification algorithm. Neurocomputing 179: 283-289 (2016) - [j5]Jun Meng, Han Hao, Yushi Luan:
Classifier ensemble selection based on affinity propagation clustering. J. Biomed. Informatics 60: 234-242 (2016) - 2015
- [j4]Jun Meng, Dong Liu, Yushi Luan:
Inferring plant microRNA functional similarity using a weighted protein-protein interaction network. BMC Bioinform. 16: 361:1-361:11 (2015) - [j3]Jun Meng, Jing Zhang, Yushi Luan:
Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 433-444 (2015) - 2014
- [j2]Jun Meng
Gene selection using rough set based on neighborhood for the analysis of plant stress response. Appl. Soft Comput. 25: 51-63 (2014) - [j1]Jun Meng, Dong Liu, Chao Sun, Yushi Luan:
Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine. BMC Bioinform. 15: 6595 (2014)
Conference and Workshop Papers
- 2023
- [c9]Shihao Xia, Jun Meng, Zhaowei Wang
A multi-granularity information-enhanced pre-training method for predicting the coding potential of sORFs in plant lncRNAs. BIBM 2023: 260-263 - [c8]Yu Wang, Jun Meng, Shihao Xia, Haibin Li, Zhaowei Wang
TGAAL: Combining Transformer-based GAN and active learning to identify the coding potential of sORFs in plant lncRNAs. BIBM 2023: 936-939 - 2022
- [c7]Siyuan Zhao, Jun Meng, Yushi Luan:
Predicting the interactions between plant lncRNA-encoded peptide and protein using domain knowledge-based prototypical network. BIBM 2022: 3328-3334 - 2020
- [c6]Jael Sanyanda Wekesa
LPI-DL: A recurrent deep learning model for plant lncRNA-protein interaction and function prediction with feature optimization. BIBM 2020: 499-502 - 2019
- [c5]Jun Meng, Zheng Chang, Peng Zhang, Wenhao Shi, Yushi Luan:
lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding. ICIC (3) 2019: 347-357 - [c4]Haoran Zhou, Yushi Luan, Jael Sanyanda Wekesa, Jun Meng:
Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning. ICIC (3) 2019: 358-368 - 2018
- [c3]Jun Meng, Dingling Jiang, Zheng Chang, Yushi Luan:
Prediction of LncRNA by Using Muitiple Feature Information Fusion and Feature Selection Technique. ICIC (2) 2018: 318-329 - 2017
- [c2]Jun Cui, Ning Jiang, Jun Meng, Yushi Luan:
Genome-Wide Analysis of Response Regulator Genes in Solanum lycopersicum. ISBRA 2017: 379-384 - 2013
- [c1]Wanlu Wang, Xin Zhang, Jun Meng, Yushi Luan:
Protein function prediction based on physiochemical properties and protein granularity. GrC 2013: 342-346
Coauthor Index
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