| CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification J Liu, W Zeng, S Kan, M Li, R Zheng Briefings in Bioinformatics 25 (1), bbad475, 2024 | 3 | 2024 |
| JLONMFSC: Clustering scRNA-seq data based on joint learning of non-negative matrix factorization and subspace clustering W Lan, M Liu, J Chen, J Ye, R Zheng, X Zhu, W Peng Methods, 2023 | 5 | 2023 |
| SPIDE: A single cell potency inference method based on the local cell-specific network entropy R Zheng, Z Xu, Y Zeng, E Wang, M Li Methods 220, 90-97, 2023 | | 2023 |
| Inferring single-cell gene regulatory network by non-redundant mutual information Y Zeng, Y He, R Zheng, M Li Briefings in Bioinformatics, bbad326, 2023 | 5 | 2023 |
| scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization X Yan, R Zheng, J Chen, M Li Bioinformatics, btad505, 2023 | 1 | 2023 |
| A posterior probability based Bayesian method for single-cell RNA-seq data imputation S Chen, R Zheng, L Tian, FX Wu, M Li Methods, 2023 | 2 | 2023 |
| CellBRF: a feature selection method for single-cell clustering using cell balance and random forest Y Xu, HD Li, CX Lin, R Zheng, Y Li, J Xu, J Wang Bioinformatics 39 (Supplement_1), i368-i376, 2023 | 4 | 2023 |
| CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity X Yan, R Zheng, F Wu, M Li Bioinformatics 39 (3), btad099, 2023 | 2 | 2023 |
| 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 | 8 | 2023 |
| scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means X Wang, H Gao, R Qi, R Zheng, X Gao, B Yu IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 2 | 2022 |
| BayesImpute: a Bayesian imputation method for single-cell RNA-seq data S Chen, R Zheng, L Tian, FX Wu, M Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | | 2022 |
| A single cell potency inference method based on the local cell-specific network entropy Z Xu, R Zheng, Y Chen, E Wang, M Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets X Yan, R Zheng, M Li Briefings in Bioinformatics 23 (5), bbac311, 2022 | 7 | 2022 |
| A deep matrix factorization based approach for single-cell RNA-seq data clustering Z Liang, R Zheng, S Chen, X Yan, M Li Methods 205, 114-122, 2022 | 3 | 2022 |
| TAIGET: A small-molecule target identification and annotation web server X Wei, J Yang, S Li, B Li, M Chen, Y Lu, X Wu, Z Cheng, X Zhang, Z Chen, ... Frontiers in Pharmacology 13, 898519, 2022 | 2 | 2022 |
| Integrate multiscale module kernel for disease-gene discovery in biological networks J Xiang, X Meng, R Zheng, M Li bioRxiv, 2022.07. 28.501869, 2022 | | 2022 |
| 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 | 45 | 2022 |
| DeepCI: a deep learning based clustering method for single cell RNA-seq data Z Liang, R Zheng, S Chen, X Yan, M Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 4 | 2021 |
| MKG: a mutual information based method to infer single cell gene regulatory network Y Zeng, X Yan, Z Liang, R Zheng, M Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 4 | 2021 |
| 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 | 24 | 2021 |
Min LiSchool of Computer Science and Engineering, Central South UniversityVerified email at mail.csu.edu.cn
