Yushi Luan

According to our database, Yushi Luan authored at least 29 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning.

Haibin Li, Jun Meng, Zhaowei Wang, Youwei Tang, Shihao Xia, Yu Wang, Zhaojing Qin, Yushi Luan

J. Chem. Inf. Model., 2024

DeepPepPI: A deep cross-dependent framework with information sharing mechanism for predicting plant peptide-protein interactions.

Zhaowei Wang, Jun Meng, Qiguo Dai, Haibin Li, Shihao Xia, Ruirui Yang, Yushi Luan

Expert Syst. Appl., 2024

2023

PAMPred: A hierarchical evolutionary ensemble framework for identifying plant antimicrobial peptides.

Zhaowei Wang, Jun Meng, Haibin Li, Shihao Xia, Yu Wang, Yushi Luan

Comput. Biol. Medicine, November, 2023

Identification of small open reading frames in plant lncRNA using class-imbalance learning.

Siyuan Zhao, Jun Meng, Jael Sanyanda Wekesa, Yushi Luan

Comput. Biol. Medicine, May, 2023

A multi-granularity information-enhanced pre-training method for predicting the coding potential of sORFs in plant lncRNAs.

Shihao Xia, Jun Meng, Zhaowei Wang, Yu Wang, Haibin Li, Zhaojing Qin, Yushi Luan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

TGAAL: Combining Transformer-based GAN and active learning to identify the coding potential of sORFs in plant lncRNAs.

Yu Wang, Jun Meng, Shihao Xia, Haibin Li, Zhaowei Wang, Yushi Luan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Identifying LncRNA-Encoded Short Peptides Using Optimized Hybrid Features and Ensemble Learning.

Siyuan Zhao, Jun Meng, Qiang Kang, Yushi Luan

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Mining plant endogenous target mimics from miRNA-lncRNA interactions based on dual-path parallel ensemble pruning method.

Qiang Kang, Jun Meng, Chenglin Su, Yushi Luan

Briefings Bioinform., 2022

RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA-RNA interaction.

Qiang Kang, Jun Meng, Yushi Luan

Briefings Bioinform., 2022

Predicting the interactions between plant lncRNA-encoded peptide and protein using domain knowledge-based prototypical network.

Siyuan Zhao, Jun Meng, Yushi Luan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Predicting Protein Functions Based on Differential Co-expression and Neighborhood Analysis.

Jael Sanyanda Wekesa, Yushi Luan, Jun Meng

J. Comput. Biol., 2021

PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

Haoran Zhou, Jael Sanyanda Wekesa, Yushi Luan, Jun Meng

BMC Bioinform., 2021

PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.

Jun Meng, Qiang Kang, Zheng Chang, Yushi Luan

BMC Bioinform., 2021

Optimized combination methods for exploring and verifying disease-resistant transcription factors in melon.

Zhicheng Wang, Yushi Luan, Xiaoxu Zhou, Jun Cui, Feishi Luan, Jun Meng

Briefings Bioinform., 2021

2020

PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction.

Qiang Kang, Jun Meng, Jun Cui, Yushi Luan, Ming Chen

Bioinform., 2020

LPI-DL: A recurrent deep learning model for plant lncRNA-protein interaction and function prediction with feature optimization.

Jael Sanyanda Wekesa, Yushi Luan, Jun Meng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning.

Haoran Zhou, Yushi Luan, Jael Sanyanda Wekesa, Jun Meng

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding.

Jun Meng, Zheng Chang, Peng Zhang, Wenhao Shi, Yushi Luan

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

2018

Ensemble classification for gene expression data based on parallel clustering.

Jun Meng, Dingling Jiang, Jing Zhang, Yushi Luan

Int. J. Data Min. Bioinform., 2018

Prediction of LncRNA by Using Muitiple Feature Information Fusion and Feature Selection Technique.

Jun Meng, Dingling Jiang, Zheng Chang, Yushi Luan

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation.

Jun Meng, Jing Zhang, Yushi Luan, Xinyu He, Li-Shuang Li, Yuan-Feng Zhu

Comput. Biol. Medicine, 2017

Genome-Wide Analysis of Response Regulator Genes in Solanum lycopersicum.

Jun Cui, Ning Jiang, Jun Meng, Yushi Luan

Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016

Classifier ensemble selection based on affinity propagation clustering.

Jun Meng, Han Hao, Yushi Luan

J. Biomed. Informatics, 2016

Plant miRNA function prediction based on functional similarity network and transductive multi-label classification algorithm.

Jun Meng, Guan-Li Shi, Yushi Luan

Neurocomputing, 2016

2015

Gene Selection Integrated with Biological Knowledge for Plant Stress Response Using Neighborhood System and Rough Set Theory.

Jun Meng, Jing Zhang, Yushi Luan

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Inferring plant microRNA functional similarity using a weighted protein-protein interaction network.

Jun Meng, Dong Liu, Yushi Luan

BMC Bioinform., 2015

2014

Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine.

Jun Meng, Dong Liu, Chao Sun, Yushi Luan

BMC Bioinform., 2014

Gene selection using rough set based on neighborhood for the analysis of plant stress response.

Jun Meng, Jing Zhang, Rui Li, Yushi Luan

Appl. Soft Comput., 2014

2013

Protein function prediction based on physiochemical properties and protein granularity.

Wanlu Wang, Xin Zhang, Jun Meng, Yushi Luan

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013