739 related articles for article (PubMed ID: 33619563)
21. scHFC: a hybrid fuzzy clustering method for single-cell RNA-seq data optimized by natural computation.
Wang J; Xia J; Tan D; Lin R; Su Y; Zheng CH
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35136924
[TBL] [Abstract][Full Text] [Related]
22. Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performance.
Fang C; Selega A; Campbell KR
Genome Biol; 2024 Jun; 25(1):159. PubMed ID: 38886757
[TBL] [Abstract][Full Text] [Related]
23. Deep embedded clustering with multiple objectives on scRNA-seq data.
Li X; Zhang S; Wong KC
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33822877
[TBL] [Abstract][Full Text] [Related]
24. MLG: multilayer graph clustering for multi-condition scRNA-seq data.
Lu S; Conn DJ; Chen S; Johnson KD; Bresnick EH; Keleş S
Nucleic Acids Res; 2021 Dec; 49(22):e127. PubMed ID: 34581807
[TBL] [Abstract][Full Text] [Related]
25. 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]
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. 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]
28. scIGANs: single-cell RNA-seq imputation using generative adversarial networks.
Xu Y; Zhang Z; You L; Liu J; Fan Z; Zhou X
Nucleic Acids Res; 2020 Sep; 48(15):e85. PubMed ID: 32588900
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Discovering cell types using manifold learning and enhanced visualization of single-cell RNA-Seq data.
Vasighizaker A; Danda S; Rueda L
Sci Rep; 2022 Jan; 12(1):120. PubMed ID: 34996927
[TBL] [Abstract][Full Text] [Related]
31. MuDCoD: multi-subject community detection in personalized dynamic gene networks from single-cell RNA sequencing.
Şapcı AOB; Lu S; Yan S; Ay F; Tastan O; Keleş S
Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37740957
[TBL] [Abstract][Full Text] [Related]
32. scLINE: A multi-network integration framework based on network embedding for representation of single-cell RNA-seq data.
Li H; Xiao X; Wu X; Ye L; Ji G
J Biomed Inform; 2021 Oct; 122():103899. PubMed ID: 34481921
[TBL] [Abstract][Full Text] [Related]
33. Entropy subspace separation-based clustering for noise reduction (ENCORE) of scRNA-seq data.
Song J; Liu Y; Zhang X; Wu Q; Gao J; Wang W; Li J; Song Y; Yang C
Nucleic Acids Res; 2021 Feb; 49(3):e18. PubMed ID: 33305325
[TBL] [Abstract][Full Text] [Related]
34. Alignment of single-cell RNA-seq samples without overcorrection using kernel density matching.
Chen M; Zhan Q; Mu Z; Wang L; Zheng Z; Miao J; Zhu P; Li YI
Genome Res; 2021 Apr; 31(4):698-712. PubMed ID: 33741686
[TBL] [Abstract][Full Text] [Related]
35. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
Gan Y; Huang X; Zou G; Zhou S; Guan J
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35172334
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Putative cell type discovery from single-cell gene expression data.
Miao Z; Moreno P; Huang N; Papatheodorou I; Brazma A; Teichmann SA
Nat Methods; 2020 Jun; 17(6):621-628. PubMed ID: 32424270
[TBL] [Abstract][Full Text] [Related]
38. The effect of data transformation on low-dimensional integration of single-cell RNA-seq.
Park Y; Hauschild AC
BMC Bioinformatics; 2024 Apr; 25(1):171. PubMed ID: 38689234
[TBL] [Abstract][Full Text] [Related]
39. Dimensionality Reduction of Single-Cell RNA-Seq Data.
Linderman GC
Methods Mol Biol; 2021; 2284():331-342. PubMed ID: 33835451
[TBL] [Abstract][Full Text] [Related]
40. Pathway-Based Single-Cell RNA-Seq Classification, Clustering, and Construction of Gene-Gene Interactions Networks Using Random Forests.
Wang H; Sham P; Tong T; Pang H
IEEE J Biomed Health Inform; 2020 Jun; 24(6):1814-1822. PubMed ID: 31581101
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
