[1] Lihong Peng, Feixiang Wang, Zhao Wang, Jingwei Tan, Li Huang, Xiongfei Tian, Guangyi Liu, Liqian Zhou. Cell-cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies, Briefings in Bioinformatics, accepted. (SCI, JCR1区, IF: 11.626,TOP期刊) [2] Lihong Peng, Bo Liao, Wen Zhu, Ze-Jun Li, Ke-Qin Li (IEEE fellow). Predicting Drug-Target Interactions with Multi-information Fusion. IEEE Journal of Biomedical and Health Informatics, 2017, 21(2): 561-572. (SCI, JCR 1区, IF:3.85) [3] Lihong Peng, Chang Wang, Xiongfei Tian, Liqian Zhou, and Keqin Li. Finding lncRNA-protein Interactions Based on Deep Learning with Dual-net Neural Architecture. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021. (SCI, JCR 1区, IF: 3.71) [4] Lihong Peng, Jingwei Tan, Xiongfei Tian, Liqian Zhou. EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models. Interdisciplinary Sciences: Computational Life Sciences, 2022. (SCI, JCR 2区, IF: 2.233) [5] Lihong Peng, Ling Shen, Longjie Liao, Guangyi Liu and Liqian Zhou. RNMFMDA: A microbe-disease association identification method based on reliable negative sample selection and logistic matrix factorization with neighborhood regularization. Frontiers in microbiology. (SCI, JCR 1区, IF: 4.019,TOP期刊) [6] Lihong Peng, Liqian Zhou, Xing Chen, Xue Piao. A computational study of potential miRNA-disease association inference based on ensemble learning and kernel ridge regression. Frontiers in Bioengineering and Biotechnology, 2020, 8: 40. (SCI, JCR 1区, IF:3.644) [7] Lihong Peng, Xiongfei Tian, Geng Tian, Junlin Xu, Xin Huang, Yanbin Weng, Jialiang Yang, Liqian Zhou. Single-cell RNA-seq clustering: datasets, models, and algorithms. RNA Biology, 2020: 1-19. (SCI, JCR 2区, IF:5.35) [8] Lihong Peng, Jun Yin, Liqian Zhou, Ming-Xi Liu, Yan Zhao. Human microbe-disease association prediction based on adaptive boosting. Frontiers in microbiology, 2018, 9: 2440. (SCI, JCR 1区, IF:4.259) [9] Lihong Peng, Ruya Yuan, Ling Shen, Pengfei Gao, Liqian Zhou. LPI-EnEDT: An Ensemble Framework with Extra Tree and Decision Tree Classifiers for Imbalanced lncRNA-protein Interaction Data Classification. BioData Mining, accepted, 2021. (SCI, JCR 2区, IF: 2.522) [10] Lihong Peng, Ling Shen, Xiongfei Tian, Fuxing Liu, Juanjuan Wang, Geng Tian, Jialiang Yang, Liqian Zhou. Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures. Scientific reports, 2021, 11(1): 1-11. (SCI, JCR 1区, IF: 4.379) [11] Lihong Peng, Xiongfei Tian, Ling Shen, Ming Kuang, Geng Tian, Jialiang Yang, Liqian Zhou*. Identifying effective antiviral treatment against SARS-CoV-2 by drug repositioning through virus-drug association prediction. Frontiers in Genetics. (SCI, JCR 2区, IF: 3.258) [12] Lihong Peng, Fuxing Liu, Jialiang Yang, Xiaojun Liu, Yajie Meng, Xiaojun Deng, Cheng Peng, Geng Tian, Liqian Zhou. Probing lncRNA-protein interactions: data repositories, models, and algorithms. Frontiers in genetics, 2019,10. (SCI, JCR 2区, IF:3.258) [13] Lihong Peng, Chuanneng Sun, Nana Guan, Xing Chen. HNMDA: heterogeneous network-based miRNA–disease association prediction. Molecular Genetics & Genomics, 2018, 293(4): 983-995. (SCI, JCR 2区, IF: 2.879) [14] Lihong Peng, Bo Liao, Wen Zhu, Zejun Li. Predicting Drug-Target Interactions with Neighbor Interaction Information and Discriminative Low-rank Representation. Current Protein & Peptide Science, 2018,19(5):455-467. (SCI, JCR 3区, IF:1.885) [15] Lihong Peng, Wen Zhu, Bo Liao, Min Chen, Jialiang Yang. Screening drug-target interactions with positive-unlabeled learning. Scientific Reports, 2017, 7:8087. (SCI, JCR 1区, IF:4.122) [16] Lihong Peng, Yeqing Chen, Ning Ma, Xing Chen. Negative-Aware and Rating-based Recommendation algorithm for MiRNA-Disease Association prediction. Molecular BioSystems, 2017, 13(12): 2650-2659. ( SCI, JCR 2区, IF:2.781) [17] 彭利红,刘海燕,任日丽,等.基于多标记学习预测药物-靶标相互作用[J].计算机工程与应用, 2017, 53(15): 260-265. (CSCD) [18] Ling Shen, Fuxing Liu, Liqian Zhou,Lihong Peng*. VDA-RWLRLS: An anti-SARS-CoV-2 drug prioritizing framework combining unbalanced bi-random walk and Laplacian regularized least squares. Computers in Biology and Medicine, 2022: 105119. (SCI, JCR 1区, IF:4.589) [19] Xiongfei Tian, Ling Shen, Pengfei Gao, Li Huang, Guangyi Liu, Liqian Zhou,Lihong Peng*. Discovery of Potential Therapeutic Drugs for COVID-19 Through Logistic Matrix Factorization With Kernel Diffusion. Frontiers in microbiology. (SCI, JCR 1区, IF: 5.64,TOP期刊) [20] Liqian Zhou, Wang Zhao, Xiongfei Tian,Lihong Peng*. LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification. BMC Bioinformatics, 22, 479, 2021. (SCI, JCR 2区, IF: 3.169) [21] Liqian Zhou, Qi Duan, Xiongfei Tian, Jianxin Tang,Lihong Peng*. LPI-HyADBS: A Hybrid Framework for lncRNA-protein Interaction Prediction Integrating Feature Selection and Classification. BMC bioinformatics, 2021, 22(1): 1-31. (SCI, JCR 2区, IF: 3.169) [22] Juanjuan Wang, Chang Wang, Ling Shen, Liqian Zhou,Lihong Peng*. Screening potential drugs for COVID-19 based on bound nuclear norm regularization. Frontiers in Genetics, 1710. (SCI, JCR 2区，IF:4.599) [23] Xiongfei Tian, Ling Shen, Zhenwu Wang, Liqian Zhou,Lihong Peng*. A novel lncRNA–protein interaction prediction method based on deep forest with cascade forest structure. Scientific Reports, 2021, 11(1): 1-15. (SCI, JCR 1区, IF: 4.379) [24] Liqian Zhou, Juanjuan Wang, Guangyi Liu, Qingqing Lu, Ruyi Dong, Geng Tian, Jialiang Yang,Lihong Peng*. Probing antiviral drugs against SARS-CoV-2 through virus-drug association prediction based on the KATZ method. Genomics, 2020, 112(6): 4427-4434. (SCI, JCR 1区, IF:6.205) [25] Fuxing Liu,Lihong Peng, Geng Tian, Jialiang Yang, Hui Chen, Qi Hu, Xiaojun Liu, Liqian Zhou. Identifying small molecules-miRNA Interactions based on credible negative sample selection and random walk. Frontiers in Bioengineering and Biotechnology, 2020, 8. (SCI, JCR 1区, IF:3.644) [26] Liqian Zhou, Zejun Li, Jialiang Yang,Lihong Peng*. Revealing Drug-Target Interactions with Computational Models and Algorithms. Molecules, 2019, 24(9): 1714. (SCI, JCR 2区, IF:3.267) |
