| Complex brain network analysis and its applications to brain disorders: a survey J Liu, M Li, Y Pan, W Lan, R Zheng, FX Wu, J Wang Complexity 2017, 2017 | 182 | 2017 |
| SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation R Zheng, M Li, Z Liang, FX Wu, Y Pan, J Wang Bioinformatics 35 (19), 3642-3650, 2019 | 150 | 2019 |
| DeepDSC: a deep learning method to predict drug sensitivity of cancer cell lines M Li, Y Wang, R Zheng, X Shi, Y Li, FX Wu, J Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (2 …, 2019 | 145 | 2019 |
| Network-based methods for predicting essential genes or proteins: a survey X Li, W Li, M Zeng, R Zheng, M Li Briefings in bioinformatics 21 (2), 566-583, 2020 | 135 | 2020 |
| Effective identification of essential proteins based on priori knowledge, network topology and gene expressions M Li, R Zheng, H Zhang, J Wang, Y Pan Methods 67 (3), 325-333, 2014 | 111 | 2014 |
| BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks R Zheng, M Li, X Chen, FX Wu, Y Pan, J Wang Bioinformatics 35 (11), 1893-1900, 2019 | 73 | 2019 |
| KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network W Lan, Y Dong, Q Chen, R Zheng, J Liu, Y Pan, YPP Chen Briefings in Bioinformatics 23 (1), bbab494, 2022 | 69 | 2022 |
| scGMAI: a Gaussian mixture model for clustering single-cell RNA-Seq data based on deep autoencoder B Yu, C Chen, R Qi, R Zheng, PJ Skillman-Lawrence, X Wang, A Ma, ... Briefings in Bioinformatics 22 (4), bbaa316, 2021 | 52 | 2021 |
| Identification of protein complexes by using a spatial and temporal active protein interaction network M Li, X Meng, R Zheng, FX Wu, Y Li, Y Pan, J Wang IEEE/ACM transactions on computational biology and bioinformatics 17 (3 …, 2017 | 49 | 2017 |
| Association of germline variants in natural killer cells with tumor immune microenvironment subtypes, tumor-infiltrating lymphocytes, immunotherapy response, clinical outcomes … X Xu, J Li, J Zou, X Feng, C Zhang, R Zheng, W Duanmu, A Saha-Mandal, ... JAMA network open 2 (9), e199292-e199292, 2019 | 47 | 2019 |
| DPCMNE: detecting protein complexes from protein-protein interaction networks via multi-level network embedding X Meng, J Xiang, R Zheng, FX Wu, M Li IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (3 …, 2021 | 42 | 2021 |
| A data-driven clustering recommendation method for single-cell RNA-sequencing data Y Tian, R Zheng, Z Liang, S Li, FX Wu, M Li Tsinghua Science and Technology 26 (5), 772-789, 2021 | 34 | 2021 |
| SSRE: cell type detection based on sparse subspace representation and similarity enhancement Z Liang, M Li, R Zheng, Y Tian, X Yan, J Chen, FX Wu, J Wang Genomics, proteomics & bioinformatics 19 (2), 282-291, 2021 | 28 | 2021 |
| An adaptive sparse subspace clustering for cell type identification R Zheng, Z Liang, X Chen, Y Tian, C Cao, M Li Frontiers in genetics 11, 407, 2020 | 27 | 2020 |
| Prioritizing disease genes by using search engine algorithm M Li, R Zheng, Q Li, J Wang, FX Wu, Z Zhang Current Bioinformatics 11 (2), 195-202, 2016 | 27 | 2016 |
| NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction J Xiang, J Zhang, R Zheng, X Li, M Li Briefings in Bioinformatics 22 (5), bbab080, 2021 | 26 | 2021 |
| A novel method of gene regulatory network structure inference from gene knock-out expression data X Chen, M Li, R Zheng, S Zhao, FX Wu, Y Li, J Wang Tsinghua Science and Technology 24 (4), 446-455, 2019 | 26 | 2019 |
| MGT-SM: a method for constructing cellular signal transduction networks M Li, R Zheng, Y Li, FX Wu, J Wang IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2017 | 22 | 2017 |
| An ensemble method to reconstruct gene regulatory networks based on multivariate adaptive regression splines R Zheng, M Li, X Chen, S Zhao, FX Wu, Y Pan, J Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (1 …, 2019 | 21 | 2019 |
| Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data S Chen, X Yan, R Zheng, M Li Briefings in Bioinformatics 24 (1), bbac580, 2023 | 13 | 2023 |
Min LiSchool of Computer Science and Engineering, Central South Universityยืนยันอีเมลแล้วที่ mail.csu.edu.cn
