1100 related articles for article (PubMed ID: 30696980)
1. Integrative single-cell analysis.
Stuart T; Satija R
Nat Rev Genet; 2019 May; 20(5):257-272. PubMed ID: 30696980
[TBL] [Abstract][Full Text] [Related]
2. Challenges in unsupervised clustering of single-cell RNA-seq data.
Kiselev VY; Andrews TS; Hemberg M
Nat Rev Genet; 2019 May; 20(5):273-282. PubMed ID: 30617341
[TBL] [Abstract][Full Text] [Related]
3. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
4. A general and flexible method for signal extraction from single-cell RNA-seq data.
Risso D; Perraudeau F; Gribkova S; Dudoit S; Vert JP
Nat Commun; 2018 Jan; 9(1):284. PubMed ID: 29348443
[TBL] [Abstract][Full Text] [Related]
5. High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications.
Huang X; Liu S; Wu L; Jiang M; Hou Y
Adv Exp Med Biol; 2018; 1068():33-43. PubMed ID: 29943294
[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. Using neural networks for reducing the dimensions of single-cell RNA-Seq data.
Lin C; Jain S; Kim H; Bar-Joseph Z
Nucleic Acids Res; 2017 Sep; 45(17):e156. PubMed ID: 28973464
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. scNPF: an integrative framework assisted by network propagation and network fusion for preprocessing of single-cell RNA-seq data.
Ye W; Ji G; Ye P; Long Y; Xiao X; Li S; Su Y; Wu X
BMC Genomics; 2019 May; 20(1):347. PubMed ID: 31068142
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. JingleBells: A Repository of Immune-Related Single-Cell RNA-Sequencing Datasets.
Ner-Gaon H; Melchior A; Golan N; Ben-Haim Y; Shay T
J Immunol; 2017 May; 198(9):3375-3379. PubMed ID: 28416714
[TBL] [Abstract][Full Text] [Related]
12. Single-Cell Transcriptomic Analysis of Tumor Heterogeneity.
Levitin HM; Yuan J; Sims PA
Trends Cancer; 2018 Apr; 4(4):264-268. PubMed ID: 29606308
[TBL] [Abstract][Full Text] [Related]
13. Computational methods for the integrative analysis of single-cell data.
Forcato M; Romano O; Bicciato S
Brief Bioinform; 2021 Jan; 22(1):20-29. PubMed ID: 32363378
[TBL] [Abstract][Full Text] [Related]
14. Computational approaches for interpreting scRNA-seq data.
Rostom R; Svensson V; Teichmann SA; Kar G
FEBS Lett; 2017 Aug; 591(15):2213-2225. PubMed ID: 28524227
[TBL] [Abstract][Full Text] [Related]
15. SINCERA: A Pipeline for Single-Cell RNA-Seq Profiling Analysis.
Guo M; Wang H; Potter SS; Whitsett JA; Xu Y
PLoS Comput Biol; 2015 Nov; 11(11):e1004575. PubMed ID: 26600239
[TBL] [Abstract][Full Text] [Related]
16. Rare Cell Type Detection.
Jiang L
Methods Mol Biol; 2019; 1935():79-89. PubMed ID: 30758820
[TBL] [Abstract][Full Text] [Related]
17. An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data.
Mah CK; Wenzel AT; Juarez EF; Tabor T; Reich MM; Mesirov JP
F1000Res; 2018; 7():1306. PubMed ID: 31316748
[TBL] [Abstract][Full Text] [Related]
18. TSEE: an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data.
An S; Ma L; Wan L
BMC Genomics; 2019 Apr; 20(Suppl 2):224. PubMed ID: 30967106
[TBL] [Abstract][Full Text] [Related]
19. Bias, robustness and scalability in single-cell differential expression analysis.
Soneson C; Robinson MD
Nat Methods; 2018 Apr; 15(4):255-261. PubMed ID: 29481549
[TBL] [Abstract][Full Text] [Related]
20. Design and computational analysis of single-cell RNA-sequencing experiments.
Bacher R; Kendziorski C
Genome Biol; 2016 Apr; 17():63. PubMed ID: 27052890
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]