429 related articles for article (PubMed ID: 31721764)
1. Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process.
Shi J; Li T; Chen L; Aihara K
PLoS Comput Biol; 2019 Nov; 15(11):e1007488. PubMed ID: 31721764
[TBL] [Abstract][Full Text] [Related]
2. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
3. Pseudotime Reconstruction Using TSCAN.
Ji Z; Ji H
Methods Mol Biol; 2019; 1935():115-124. PubMed ID: 30758823
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Visualization of Single Cell RNA-Seq Data Using t-SNE in R.
Zhou B; Jin W
Methods Mol Biol; 2020; 2117():159-167. PubMed ID: 31960377
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Cell lineage inference from SNP and scRNA-Seq data.
Ding J; Lin C; Bar-Joseph Z
Nucleic Acids Res; 2019 Jun; 47(10):e56. PubMed ID: 30820578
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. The promise of single-cell RNA sequencing for kidney disease investigation.
Wu H; Humphreys BD
Kidney Int; 2017 Dec; 92(6):1334-1342. PubMed ID: 28893418
[TBL] [Abstract][Full Text] [Related]
12. scPADGRN: A preconditioned ADMM approach for reconstructing dynamic gene regulatory network using single-cell RNA sequencing data.
Zheng X; Huang Y; Zou X
PLoS Comput Biol; 2020 Jul; 16(7):e1007471. PubMed ID: 32716923
[TBL] [Abstract][Full Text] [Related]
13. Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database.
Zappia L; Phipson B; Oshlack A
PLoS Comput Biol; 2018 Jun; 14(6):e1006245. PubMed ID: 29939984
[TBL] [Abstract][Full Text] [Related]
14. Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps.
Jansen C; Ramirez RN; El-Ali NC; Gomez-Cabrero D; Tegner J; Merkenschlager M; Conesa A; Mortazavi A
PLoS Comput Biol; 2019 Nov; 15(11):e1006555. PubMed ID: 31682608
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Single-Cell Transcriptomics of Immune Cells: Cell Isolation and cDNA Library Generation for scRNA-Seq.
Arsenio J
Methods Mol Biol; 2020; 2184():1-18. PubMed ID: 32808214
[TBL] [Abstract][Full Text] [Related]
19. A Bayesian mixture model for clustering droplet-based single-cell transcriptomic data from population studies.
Sun Z; Chen L; Xin H; Jiang Y; Huang Q; Cillo AR; Tabib T; Kolls JK; Bruno TC; Lafyatis R; Vignali DAA; Chen K; Ding Y; Hu M; Chen W
Nat Commun; 2019 Apr; 10(1):1649. PubMed ID: 30967541
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]