496 related articles for article (PubMed ID: 31271412)
1. 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]
2. Machine learning and statistical methods for clustering single-cell RNA-sequencing data.
Petegrosso R; Li Z; Kuang R
Brief Bioinform; 2020 Jul; 21(4):1209-1223. PubMed ID: 31243426
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Dimension Reduction and Clustering Models for Single-Cell RNA Sequencing Data: A Comparative Study.
Feng C; Liu S; Zhang H; Guan R; Li D; Zhou F; Liang Y; Feng X
Int J Mol Sci; 2020 Mar; 21(6):. PubMed ID: 32235704
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview.
Slovin S; Carissimo A; Panariello F; Grimaldi A; Bouché V; Gambardella G; Cacchiarelli D
Methods Mol Biol; 2021; 2284():343-365. PubMed ID: 33835452
[TBL] [Abstract][Full Text] [Related]
7. On the use of QDE-SVM for gene feature selection and cell type classification from scRNA-seq data.
Ng GYL; Tan SC; Ong CS
PLoS One; 2023; 18(10):e0292961. PubMed ID: 37856458
[TBL] [Abstract][Full Text] [Related]
8. Impact of similarity metrics on single-cell RNA-seq data clustering.
Kim T; Chen IR; Lin Y; Wang AY; Yang JYH; Yang P
Brief Bioinform; 2019 Nov; 20(6):2316-2326. PubMed ID: 30137247
[TBL] [Abstract][Full Text] [Related]
9. A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering.
Xu Y; Li HD; Pan Y; Luo F; Wu FX; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):431-442. PubMed ID: 31369384
[TBL] [Abstract][Full Text] [Related]
10. Single-cell RNA-seq clustering: datasets, models, and algorithms.
Peng L; Tian X; Tian G; Xu J; Huang X; Weng Y; Yang J; Zhou L
RNA Biol; 2020 Jun; 17(6):765-783. PubMed ID: 32116127
[TBL] [Abstract][Full Text] [Related]
11. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
12. A multitask clustering approach for single-cell RNA-seq analysis in Recessive Dystrophic Epidermolysis Bullosa.
Zhang H; Lee CAA; Li Z; Garbe JR; Eide CR; Petegrosso R; Kuang R; Tolar J
PLoS Comput Biol; 2018 Apr; 14(4):e1006053. PubMed ID: 29630593
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Single-cell RNA-seq data clustering: A survey with performance comparison study.
Li R; Guan J; Zhou S
J Bioinform Comput Biol; 2020 Aug; 18(4):2040005. PubMed ID: 32795134
[TBL] [Abstract][Full Text] [Related]
15. Single-cell RNA-sequencing data clustering using variational graph attention auto-encoder with self-supervised leaning.
Li B; Peng C; You Z; Zhang X; Zhang S
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37898127
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Multi-View Clustering With Graph Learning for scRNA-Seq Data.
Wu W; Zhang W; Hou W; Ma X
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(6):3535-3546. PubMed ID: 37486829
[TBL] [Abstract][Full Text] [Related]
18. SAME-clustering: Single-cell Aggregated Clustering via Mixture Model Ensemble.
Huh R; Yang Y; Jiang Y; Shen Y; Li Y
Nucleic Acids Res; 2020 Jan; 48(1):86-95. PubMed ID: 31777938
[TBL] [Abstract][Full Text] [Related]
19. A critical assessment of clustering algorithms to improve cell clustering and identification in single-cell transcriptome study.
Liang X; Cao L; Chen H; Wang L; Wang Y; Fu L; Tan X; Chen E; Ding Y; Tang J
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38168839
[TBL] [Abstract][Full Text] [Related]
20. Joint learning dimension reduction and clustering of single-cell RNA-sequencing data.
Wu W; Ma X
Bioinformatics; 2020 Jun; 36(12):3825-3832. PubMed ID: 32246821
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]