Jun Meng

发表

Multi-feature fusion for deep learning to predict plant lncRNA-protein interaction.

J. Wekesa, Jun Meng, Yushi Luan, 2020, Genomics.

A deep learning model for plant lncRNA-protein interaction prediction with graph attention

J. Wekesa, Jun Meng, Yushi Luan, 2020, Molecular Genetics and Genomics.

Genome-wide Identification of LncRNAs and Analysis of CeRNA Networks during Tomato Resistance to Phytophthora infestans.

Jun Meng, Yushi Luan, J. Cui, 2020, Phytopathology.

Identification of lncRNAs and their regulatory relationships with target genes and corresponding miRNAs in melon response to powdery mildew fungi.

F. Luan, Xiaoxu Zhou, Jun Meng, 2020, Gene.

Interactions and links among the noncoding RNAs in plants under stresses

Xiaoxu Zhou, Jun Meng, Yushi Luan, 2020, Theoretical and Applied Genetics.

Protein function prediction based on physiochemical properties and protein granularity

Xin Zhang, Jun Meng, Yushi Luan, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

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

Siyuan Zhao, Jun Meng, Yushi Luan, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Comparative transcriptome analysis shows the defense response networks regulated by miR482b

Guanglei Yang, Jun Meng, Yushi Luan, 2018, Plant Cell Reports.

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

Siyuan Zhao, Jun Meng, Yushi Luan, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Tomato MYB49 enhances resistance to Phytophthora infestans and tolerance to water deficit and salt stress

Guanglei Yang, Xiaoxu Zhou, Jun Meng, 2018, Planta.

Tomato MYB49 enhances resistance to Phytophthora infestans and tolerance to water deficit and salt stress

Guanglei Yang, Xiaoxu Zhou, Jun Meng, 2018, Planta.

LncRNA33732‐respiratory burst oxidase module associated with WRKY1 in tomato‐ Phytophthora infestans interactions

Guanglei Yang, Xiaoxu Zhou, Jun Meng, 2019, The Plant journal : for cell and molecular biology.

Tomato lncRNA23468 functions as a competing endogenous RNA to modulate NBS-LRR genes by decoying miR482b in the tomato-Phytophthora infestans interaction

Guanglei Yang, Xiaoxu Zhou, Jun Meng, 2019, Horticulture Research.

Comparative transcriptome analysis between resistant and susceptible tomato allows the identification of lncRNA16397 conferring resistance to Phytophthora infestans by co‐expressing glutaredoxin

Jun Meng, Yushi Luan, J. Cui, 2017, The Plant journal : for cell and molecular biology.

Function identification of miR482b, a negative regulator during tomato resistance to Phytophthora infestans

Ning Jiang, Jun Meng, Yushi Luan, 2018, Horticulture Research.

Solanum lycopersicum microRNA1916 targets multiple target genes and negatively regulates the immune response in tomato.

M. Zhang, Jun Meng, Lei Chen, 2018, Plant, cell & environment.

Effective enhancement of resistance to Phytophthora infestans by overexpression of miR172a and b in Solanum lycopersicum

J. Li, Jun Meng, Yushi Luan, 2017, Planta.

High-throughput sequencing reveals differential expression of miRNAs in tomato inoculated with Phytophthora infestans

J. Li, Jun Meng, Yushi Luan, 2015, Planta.

Plant microRNA-Target Interaction Identification Model Based on the Integration of Prediction Tools and Support Vector Machine

Lin Shi, Jun Meng, Yushi Luan, 2014, PloS one.

Plant miRNA–lncRNA Interaction Prediction with the Ensemble of CNN and IndRNN

Chanjuan Liu, Jun Meng, Yushi Luan, 2019, Interdisciplinary Sciences: Computational Life Sciences.

MiR1918 enhances tomato sensitivity to Phytophthora infestans infection

Jun Meng, Yushi Luan, J. Cui, 2016, Scientific Reports.

Characterization and Function of MicroRNA∗s in Plants

Jun Meng, Weiwei Liu, J. Cui, 2017, Front. Plant Sci..

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

Dong Liu, Chao Sun, Jun Meng, 2014, BMC Bioinformatics.

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

Jun Meng, Yushi Luan, Xiaoxu Zhou, 2020, Briefings Bioinform..

Editing miR482b and miR482c simultaneously by CRISPR/Cas9 enhanced tomato resistance to Phytophthora infestans.

Jun Meng, Yushi Luan, H. Qi, 2020, Phytopathology.

Overexpression of MiR482c in Tomato Induces Enhanced Susceptibility to Late Blight

Jun Meng, Yushi Luan, Yuanyuan Zhang, 2019, Cells.

Classification by integrating plant stress response gene expression data with biological knowledge.

Rui Li, Jun Meng, Yushi Luan, 2015, Mathematical biosciences.

sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs

Siyuan Zhao, Jun Meng, Yushi Luan, 2023, Interdisciplinary Sciences: Computational Life Sciences.

miR1916 plays a role as a negative regulator in drought stress resistance in tomato and tobacco.

Jun Meng, Yushi Luan, Lei Chen, 2019, Biochemical and biophysical research communications.

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

Zheng Chang, Jun Meng, Yushi Luan, 2018, ICIC.

Tomato lncRNA23468 functions as a competing endogenous RNA to modulate NBS-LRR genes by decoying miR482b in the tomato-Phytophthora infestans interaction

Guanglei Yang, Xiaoxu Zhou, Jun Meng, 2019, Horticulture Research.

Sly-lncRNA15492 interacts with Sly-miR482a and affects Solanum lycopersicum immunity against Phytophthora infestans.

Guanglei Yang, Jun Meng, Yushi Luan, 2020, The Plant journal : for cell and molecular biology.

Transcriptome signatures of tomato leaf induced by Phytophthora infestans and functional identification of transcription factor SpWRKY3

Jun Meng, Yushi Luan, J. Cui, 2017, Theoretical and Applied Genetics.

Transcriptome signatures of tomato leaf induced by Phytophthora infestans and functional identification of transcription factor SpWRKY3

Jun Meng, Yushi Luan, J. Cui, 2017, Theoretical and Applied Genetics.

A Hybrid Prediction Method for Plant lncRNA-Protein Interaction

Jun Meng, Ming Chen, Jael Sanyanda Wekesa, 2019, Cells.

MicroRNA396a-5p and -3p induce tomato disease susceptibility by suppressing target genes and upregulating salicylic acid.

Jun Meng, Yushi Luan, Lei Chen, 2017, Plant science : an international journal of experimental plant biology.

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

Jun Meng, Yushi Luan, Guan-Li Shi, 2016, Neurocomputing.

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

Dong Liu, Jun Meng, Yushi Luan, 2015, BMC Bioinformatics.

Identification and characterization of defensin genes conferring Phytophthora infestans resistance in tomato

Guanglei Yang, Jun Meng, Yushi Luan, 2018, Physiological and Molecular Plant Pathology.

High-throughput sequencing reveals differential expression of miRNAs in tomato inoculated with Phytophthora infestans

J. Li, Jun Meng, Yushi Luan, 2015, Planta.

Identification of tomato circular RNAs responsive to Phytophthora infestans.

M. Zhang, Jun Meng, Yushi Luan, 2020, Gene.

Classifier ensemble selection based on affinity propagation clustering

Jun Meng, Han Hao, Yushi Luan, 2016, J. Biomed. Informatics.

Predicting miRNA-lncRNA interactions and recognizing their regulatory roles in stress response of plants.

Jun Meng, Qiang Kang, Jun Meng, 2019, Mathematical biosciences.

The SlWRKY6-SlPROPEP-SlPep module confers tomato resistance to Phytophthora infestans

Jun Meng, Yushi Luan, T. Xue, 2023, Scientia Horticulturae.

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

Jing Zhang, Jun Meng, Yushi Luan, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

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

Jun Meng, Yushi Luan, Qiang Kang, 2021, BMC Bioinformatics.

Unveiling the secrets of non-coding RNA-encoded peptides in plants: A comprehensive review of mining methods and research progress.

Jun Meng, Yushi Luan, Siyuan Zhao, 2023, International journal of biological macromolecules.

Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA–lncRNA Interaction Prediction

Jun Meng, Yushi Luan, Qiang Kang, 2021, Interdisciplinary Sciences: Computational Life Sciences.

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

Qiang Kang, Jun Cui, Ming Chen, 2020, Bioinform..

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

J. Wekesa, Jun Meng, Yushi Luan, 2023, Comput. Biol. Medicine.

The lncRNA39896-miR166b-HDZs module affects tomato resistance to Phytophthora infestans.

Yinhua Chen, Jun Meng, Yushi Luan, 2022, Journal of integrative plant biology.

LncRNA-Encoded Short Peptides Identification Using Feature Subset Recombination and Ensemble Learning

Siyuan Zhao, Jun Meng, Yushi Luan, 2021, Interdisciplinary Sciences: Computational Life Sciences.

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

Jael Sanyanda Wekesa, Yushi Luan, Haoran Zhou, 2021, BMC Bioinformatics.

LncRNA39026 enhances tomato resistance to Phytophthora infestans by decoying miR168a and inducing PR genes expression.

Xiaoxu Zhou, Jun Meng, Yushi Luan, 2019, Phytopathology.

Genome-wide analyses of miRNAs in mycorrhizal plants in response to late blight and elucidation of the role of miR319c in tomato resistance

Xiaoxu Zhou, Jun Meng, Yushi Luan, 2023, Horticultural Plant Journal.

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

Jun Meng, Yushi Luan, Dong Liu, 2014, BMC Bioinformatics.

Protein function prediction based on data fusion and functional interrelationship.

Jun Meng, Jael-Sanyanda Wekesa, Guan-Li Shi, 2016, Mathematical biosciences.

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

Jun Meng, Jael Sanyanda Wekesa, Yushi Luan, 2020, J. Comput. Biol..

Parallel gene selection and dynamic ensemble pruning based on Affinity Propagation

Jing Zhang, Xinyu He, Jun Meng, 2017, Comput. Biol. Medicine.

Secreted Peptide SpPIP1 Modulates Disease Resistance and Salt Tolerance in Tomato.

Jun Meng, Yushi Luan, Jie Liu, 2023, Journal of agricultural and food chemistry.

A Tomato Nucleotide Binding Sites-Leucine-Rich Repeat Gene Is Positively Involved in Plant Resistance to Phytophthora infestans.

Jun Meng, Yushi Luan, J. Cui, 2018, Phytopathology.

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

Jun Meng, Jael Sanyanda Wekesa, Yushi Luan, 2019, ICIC.

Comparative transcriptome analysis shows the defense response networks regulated by miR482b

Guanglei Yang, Jun Meng, Yushi Luan, 2018, Plant Cell Reports.

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

Jun Meng, Yushi Luan, Haibin Li, 2023, J. Chem. Inf. Model..

Sl-lncRNA47980, a positive regulator affects tomato resistance to Phytophthora infestans.

Jun Meng, Yushi Luan, J. Cui, 2023, International journal of biological macromolecules.

Regulatory Peptide Encoded by the Primary Transcript of miR396a Influences Gene Expression and Root Development in Solanum lycopersicum.

Jun Meng, Yushi Luan, Cheng-Wen Su, 2024, Journal of agricultural and food chemistry.

Plant miRNA–lncRNA Interaction Prediction with the Ensemble of CNN and IndRNN

Peng Zhang, Jun Meng, Yushi Luan, 2019, Interdisciplinary Sciences: Computational Life Sciences.

SlLTPg1, a tomato lipid transfer protein, positively regulates in response to biotic stresses.

Jun Meng, Yushi Luan, Zhicheng Wang, 2024, International journal of biological macromolecules.

The lncRNA20718-miR6022-RLPs module regulates tomato resistance to Phytophthora infestans.

Jun Meng, Yushi Luan, Yuhui Hong, 2024, Plant cell reports.