| CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases C Fan, X Lei, Z Fang, Q Jiang, FX Wu Database 2018, bay044, 2018 | 220 | 2018 |
| Prediction of CircRNA-disease associations using KATZ model based on heterogeneous networks C Fan, X Lei, FX Wu International journal of biological sciences 14 (14), 1950, 2018 | 137 | 2018 |
| Solving non-convex/non-smooth economic load dispatch problems via an enhanced particle swarm optimization Q Qin, S Cheng, X Chu, X Lei, Y Shi Applied Soft Computing 59, 229-242, 2017 | 113 | 2017 |
| Protein complex identification through Markov clustering with firefly algorithm on dynamic protein–protein interaction networks X Lei, F Wang, FX Wu, A Zhang, W Pedrycz Information Sciences 329, 303-316, 2016 | 97 | 2016 |
| Variational graph auto-encoders for miRNA-disease association prediction Y Ding, LP Tian, X Lei, B Liao, FX Wu Methods 192, 25-34, 2021 | 95 | 2021 |
| deepDriver: predicting cancer driver genes based on somatic mutations using deep convolutional neural networks P Luo, Y Ding, X Lei, FX Wu Frontiers in genetics 10, 13, 2019 | 95 | 2019 |
| PWCDA: path weighted method for predicting circRNA-disease associations X Lei, Z Fang, L Chen, FX Wu International journal of molecular sciences 19 (11), 3410, 2018 | 92 | 2018 |
| A quarter century of particle swarm optimization S Cheng, H Lu, X Lei, Y Shi Complex & Intelligent Systems 4 (3), 227-239, 2018 | 76 | 2018 |
| Air robot path planning based on intelligent water drops optimization H Duan, S Liu, X Lei 2008 IEEE international joint conference on neural networks (IEEE World …, 2008 | 72 | 2008 |
| Predicting drug–drug interactions by graph convolutional network with multi-kernel F Wang, X Lei, B Liao, FX Wu Briefings in Bioinformatics 23 (1), bbab511, 2022 | 69 | 2022 |
| Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets X Lei, J Zhao, H Fujita, A Zhang Knowledge-Based Systems 151, 136-148, 2018 | 68 | 2018 |
| Identifying cancer-specific circRNA–RBP binding sites based on deep learning Z Wang, X Lei, FX Wu Molecules 24 (22), 4035, 2019 | 65 | 2019 |
| Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A … Y Pan, X Lei, Y Zhang Medicinal research reviews 42 (1), 441-461, 2022 | 64 | 2022 |
| Predicting miRNA-disease associations based on multi-view variational graph auto-encoder with matrix factorization Y Ding, X Lei, B Liao, FX Wu IEEE journal of biomedical and health informatics 26 (1), 446-457, 2021 | 64 | 2021 |
| Integrating random walk with restart and k-Nearest Neighbor to identify novel circRNA-disease association X Lei, C Bian Scientific reports 10 (1), 1943, 2020 | 64 | 2020 |
| Identification of dynamic protein complexes based on fruit fly optimization algorithm X Lei, Y Ding, H Fujita, A Zhang Knowledge-Based Systems 105, 270-277, 2016 | 64 | 2016 |
| Bioinformatics approaches for deciphering the epitranscriptome: recent progress and emerging topics L Liu, B Song, J Ma, Y Song, SY Zhang, Y Tang, X Wu, Z Wei, K Chen, ... Computational and structural biotechnology journal 18, 1587-1604, 2020 | 58 | 2020 |
| Dynamic path planning of mobile robots based on ABC algorithm Q Ma, X Lei Artificial Intelligence and Computational Intelligence: International …, 2010 | 58 | 2010 |
| EpiSIM: simulation of multiple epistasis, linkage disequilibrium patterns and haplotype blocks for genome-wide interaction analysis J Shang, J Zhang, X Lei, W Zhao, Y Dong Genes & Genomics 35, 305-316, 2013 | 57 | 2013 |
| GBDTCDA: predicting circRNA-disease associations based on gradient boosting decision tree with multiple biological data fusion X Lei, Z Fang International journal of biological sciences 15 (13), 2911, 2019 | 56 | 2019 |
FangXiang WUProfessor, FIEEE, FIET, University of Saskatchewan, Canadaایمیل تأیید شده در usask.ca