581 related articles for article (PubMed ID: 37856458)
21. jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.
Wu W; Liu Z; Ma X
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33535230
[TBL] [Abstract][Full Text] [Related]
22. A machine learning-based method for automatically identifying novel cells in annotating single-cell RNA-seq data.
Li Z; Wang Y; Ganan-Gomez I; Colla S; Do KA
Bioinformatics; 2022 Oct; 38(21):4885-4892. PubMed ID: 36083008
[TBL] [Abstract][Full Text] [Related]
23. Random forest based similarity learning for single cell RNA sequencing data.
Pouyan MB; Kostka D
Bioinformatics; 2018 Jul; 34(13):i79-i88. PubMed ID: 29950006
[TBL] [Abstract][Full Text] [Related]
24. Attention-based deep clustering method for scRNA-seq cell type identification.
Li S; Guo H; Zhang S; Li Y; Li M
PLoS Comput Biol; 2023 Nov; 19(11):e1011641. PubMed ID: 37948464
[TBL] [Abstract][Full Text] [Related]
25. Transfer learning for clustering single-cell RNA-seq data crossing-species and batch, case on uterine fibroids.
Wang YM; Sun Y; Wang B; Wu Z; He XY; Zhao Y
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 37991248
[TBL] [Abstract][Full Text] [Related]
26. scGCC: Graph Contrastive Clustering With Neighborhood Augmentations for scRNA-Seq Data Analysis.
Tian SW; Ni JC; Wang YT; Zheng CH; Ji CM
IEEE J Biomed Health Inform; 2023 Dec; 27(12):6133-6143. PubMed ID: 37751336
[TBL] [Abstract][Full Text] [Related]
27. CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments.
Lieberman Y; Rokach L; Shay T
PLoS One; 2018; 13(10):e0205499. PubMed ID: 30304022
[TBL] [Abstract][Full Text] [Related]
28. A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies.
Das S; Rai A; Merchant ML; Cave MC; Rai SN
Genes (Basel); 2021 Dec; 12(12):. PubMed ID: 34946896
[TBL] [Abstract][Full Text] [Related]
29. Boosting scRNA-seq data clustering by cluster-aware feature weighting.
Li RY; Guan J; Zhou S
BMC Bioinformatics; 2021 Jun; 22(Suppl 6):130. PubMed ID: 34078287
[TBL] [Abstract][Full Text] [Related]
30. Clustering and classification methods for single-cell RNA-sequencing data.
Qi R; Ma A; Ma Q; Zou Q
Brief Bioinform; 2020 Jul; 21(4):1196-1208. PubMed ID: 31271412
[TBL] [Abstract][Full Text] [Related]
31. Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations.
Lei T; Chen R; Zhang S; Chen Y
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37769630
[TBL] [Abstract][Full Text] [Related]
32. scFseCluster: a feature selection-enhanced clustering for single-cell RNA-seq data.
Wang Z; Xie X; Liu S; Ji Z
Life Sci Alliance; 2023 Dec; 6(12):. PubMed ID: 37788907
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. JLONMFSC: Clustering scRNA-seq data based on joint learning of non-negative matrix factorization and subspace clustering.
Lan W; Liu M; Chen J; Ye J; Zheng R; Zhu X; Peng W
Methods; 2024 Feb; 222():1-9. PubMed ID: 38128706
[TBL] [Abstract][Full Text] [Related]
35. An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation.
Yang Q; Xu Z; Zhou W; Wang P; Jiang Q; Juan L
Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37225419
[TBL] [Abstract][Full Text] [Related]
36. A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis.
Qiao TJ; Liu JX; Shang J; Yuan S; Zheng CH; Wang J
IEEE J Biomed Health Inform; 2023 May; 27(5):2575-2584. PubMed ID: 37027680
[TBL] [Abstract][Full Text] [Related]
37. Highly Regional Genes: graph-based gene selection for single-cell RNA-seq data.
Wu Y; Hu Q; Wang S; Liu C; Shan Y; Guo W; Jiang R; Wang X; Gu J
J Genet Genomics; 2022 Sep; 49(9):891-899. PubMed ID: 35144027
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Network-Based Structural Learning Nonnegative Matrix Factorization Algorithm for Clustering of scRNA-Seq Data.
Wu W; Ma X
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):566-575. PubMed ID: 35316190
[TBL] [Abstract][Full Text] [Related]
40. A cofunctional grouping-based approach for non-redundant feature gene selection in unannotated single-cell RNA-seq analysis.
Deng T; Chen S; Zhang Y; Xu Y; Feng D; Wu H; Sun X
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36754847
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]