1190 related articles for article (PubMed ID: 26600239)
1. 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]
2. Single-Cell Transcriptome Analysis Using SINCERA Pipeline.
Guo M; Xu Y
Methods Mol Biol; 2018; 1751():209-222. PubMed ID: 29508300
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
5. Analysis of Technical and Biological Variability in Single-Cell RNA Sequencing.
Kim B; Lee E; Kim JK
Methods Mol Biol; 2019; 1935():25-43. PubMed ID: 30758818
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. Single-Cell Transcriptome Analysis of T Cells.
Van Der Byl W; Rizzetto S; Samir J; Cai C; Eltahla AA; Luciani F
Methods Mol Biol; 2019; 2048():155-205. PubMed ID: 31396939
[TBL] [Abstract][Full Text] [Related]
10. Identification of Cell Types from Single-Cell Transcriptomic Data.
Shekhar K; Menon V
Methods Mol Biol; 2019; 1935():45-77. PubMed ID: 30758819
[TBL] [Abstract][Full Text] [Related]
11. Falco: a quick and flexible single-cell RNA-seq processing framework on the cloud.
Yang A; Troup M; Lin P; Ho JW
Bioinformatics; 2017 Mar; 33(5):767-769. PubMed ID: 28025200
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.
Ghannoum S; Leoncio Netto W; Fantini D; Ragan-Kelley B; Parizadeh A; Jonasson E; Ståhlberg A; Farhan H; Köhn-Luque A
Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33573289
[TBL] [Abstract][Full Text] [Related]
14. Identifying Cell Subpopulations and Their Genetic Drivers from Single-Cell RNA-Seq Data Using a Biclustering Approach.
Shi F; Huang H
J Comput Biol; 2017 Jul; 24(7):663-674. PubMed ID: 28657835
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
Zambelli F; Pavesi G
Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
[TBL] [Abstract][Full Text] [Related]
17. IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis.
Monier B; McDermaid A; Wang C; Zhao J; Miller A; Fennell A; Ma Q
PLoS Comput Biol; 2019 Feb; 15(2):e1006792. PubMed ID: 30763315
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. scPipe: A flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data.
Tian L; Su S; Dong X; Amann-Zalcenstein D; Biben C; Seidi A; Hilton DJ; Naik SH; Ritchie ME
PLoS Comput Biol; 2018 Aug; 14(8):e1006361. PubMed ID: 30096152
[TBL] [Abstract][Full Text] [Related]
20. scMCA: A Tool to Define Mouse Cell Types Based on Single-Cell Digital Expression.
Sun H; Zhou Y; Fei L; Chen H; Guo G
Methods Mol Biol; 2019; 1935():91-96. PubMed ID: 30758821
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]