These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
168 related articles for article (PubMed ID: 37016133)
1. Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction. Xu Y; Zang Z; Xia J; Tan C; Geng Y; Li SZ Commun Biol; 2023 Apr; 6(1):369. PubMed ID: 37016133 [TBL] [Abstract][Full Text] [Related]
2. A topology-preserving dimensionality reduction method for single-cell RNA-seq data using graph autoencoder. Luo Z; Xu C; Zhang Z; Jin W Sci Rep; 2021 Oct; 11(1):20028. PubMed ID: 34625592 [TBL] [Abstract][Full Text] [Related]
3. Deep generative model embedding of single-cell RNA-Seq profiles on hyperspheres and hyperbolic spaces. Ding J; Regev A Nat Commun; 2021 May; 12(1):2554. PubMed ID: 33953202 [TBL] [Abstract][Full Text] [Related]
4. Propensity score matching enables batch-effect-corrected imputation in single-cell RNA-seq analysis. Xu X; Yu X; Hu G; Wang K; Zhang J; Li X Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35821114 [TBL] [Abstract][Full Text] [Related]
5. Structure-preserved dimension reduction using joint triplets sampling for multi-batch integration of single-cell transcriptomic data. Xu X; Li X Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36627114 [TBL] [Abstract][Full Text] [Related]
6. scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis. Wang HY; Zhao JP; Su YS; Zheng CH IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3685-3694. PubMed ID: 34752401 [TBL] [Abstract][Full Text] [Related]
7. scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data. Wang H; Zhao J; Zheng C; Su Y PLoS Comput Biol; 2022 Dec; 18(12):e1010772. PubMed ID: 36534702 [TBL] [Abstract][Full Text] [Related]
8. scGAMNN: Graph Antoencoder-Based Single-Cell RNA Sequencing Data Integration Algorithm Using Mutual Nearest Neighbors. Zhang B; Wu H; Wang Y; Xuan C; Gao J IEEE J Biomed Health Inform; 2023 Nov; 27(11):5665-5674. PubMed ID: 37656653 [TBL] [Abstract][Full Text] [Related]
9. scDCCA: deep contrastive clustering for single-cell RNA-seq data based on auto-encoder network. Wang J; Xia J; Wang H; Su Y; Zheng CH Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36631401 [TBL] [Abstract][Full Text] [Related]
10. scGMAAE: Gaussian mixture adversarial autoencoders for diversification analysis of scRNA-seq data. Wang HY; Zhao JP; Zheng CH; Su YS Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36592058 [TBL] [Abstract][Full Text] [Related]
11. One Cell At a Time (OCAT): a unified framework to integrate and analyze single-cell RNA-seq data. Wang CX; Zhang L; Wang B Genome Biol; 2022 Apr; 23(1):102. PubMed ID: 35443717 [TBL] [Abstract][Full Text] [Related]
12. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network. Huang Z; Wang J; Lu X; Mohd Zain A; Yu G Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36733262 [TBL] [Abstract][Full Text] [Related]
13. Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. Liu JX; Zhang DJ; Zhao JX; Zheng CH; Gao YL IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(6):3737-3747. PubMed ID: 37751340 [TBL] [Abstract][Full Text] [Related]
14. scGAC: a graph attentional architecture for clustering single-cell RNA-seq data. Cheng Y; Ma X Bioinformatics; 2022 Apr; 38(8):2187-2193. PubMed ID: 35176138 [TBL] [Abstract][Full Text] [Related]
15. scGAD: a new task and end-to-end framework for generalized cell type annotation and discovery. Zhai Y; Chen L; Deng M Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36869836 [TBL] [Abstract][Full Text] [Related]
16. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering. Wang Y; Yu Z; Li S; Bian C; Liang Y; Wong KC; Li X Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36734596 [TBL] [Abstract][Full Text] [Related]
17. Comparison of scRNA-seq data analysis method combinations. Xu L; Xue T; Ding W; Shen L Brief Funct Genomics; 2022 Nov; 21(6):433-440. PubMed ID: 36124658 [TBL] [Abstract][Full Text] [Related]
18. scNAME: neighborhood contrastive clustering with ancillary mask estimation for scRNA-seq data. Wan H; Chen L; Deng M Bioinformatics; 2022 Mar; 38(6):1575-1583. PubMed ID: 34999761 [TBL] [Abstract][Full Text] [Related]
19. Learning deep features and topological structure of cells for clustering of scRNA-sequencing data. Wang H; Ma X Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35302164 [TBL] [Abstract][Full Text] [Related]
20. Single-cell RNA sequencing data analysis based on non-uniform ε-neighborhood network. Jia J; Chen L Bioinformatics; 2022 Apr; 38(9):2459-2465. PubMed ID: 35188181 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]