2171 related articles for article (PubMed ID: 28114287)
1. Single-cell mRNA quantification and differential analysis with Census.
Qiu X; Hill A; Packer J; Lin D; Ma YA; Trapnell C
Nat Methods; 2017 Mar; 14(3):309-315. PubMed ID: 28114287
[TBL] [Abstract][Full Text] [Related]
2. Effective detection of variation in single-cell transcriptomes using MATQ-seq.
Sheng K; Cao W; Niu Y; Deng Q; Zong C
Nat Methods; 2017 Mar; 14(3):267-270. PubMed ID: 28092691
[TBL] [Abstract][Full Text] [Related]
3. Current and Future Methods for mRNA Analysis: A Drive Toward Single Molecule Sequencing.
Bayega A; Fahiminiya S; Oikonomopoulos S; Ragoussis J
Methods Mol Biol; 2018; 1783():209-241. PubMed ID: 29767365
[TBL] [Abstract][Full Text] [Related]
4. Rare Cell Type Detection.
Jiang L
Methods Mol Biol; 2019; 1935():79-89. PubMed ID: 30758820
[TBL] [Abstract][Full Text] [Related]
5. Normalization for Single-Cell RNA-Seq Data Analysis.
Bacher R
Methods Mol Biol; 2019; 1935():11-23. PubMed ID: 30758817
[TBL] [Abstract][Full Text] [Related]
6. Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts.
Ntranos V; Kamath GM; Zhang JM; Pachter L; Tse DN
Genome Biol; 2016 May; 17(1):112. PubMed ID: 27230763
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Data Analysis in Single-Cell Transcriptome Sequencing.
Gao S
Methods Mol Biol; 2018; 1754():311-326. PubMed ID: 29536451
[TBL] [Abstract][Full Text] [Related]
9. Discrete distributional differential expression (D3E)--a tool for gene expression analysis of single-cell RNA-seq data.
Delmans M; Hemberg M
BMC Bioinformatics; 2016 Feb; 17():110. PubMed ID: 26927822
[TBL] [Abstract][Full Text] [Related]
10. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments.
Korthauer KD; Chu LF; Newton MA; Li Y; Thomson J; Stewart R; Kendziorski C
Genome Biol; 2016 Oct; 17(1):222. PubMed ID: 27782827
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Quality Control of Single-Cell RNA-seq.
Jiang P
Methods Mol Biol; 2019; 1935():1-9. PubMed ID: 30758816
[TBL] [Abstract][Full Text] [Related]
14. SC3-seq: a method for highly parallel and quantitative measurement of single-cell gene expression.
Nakamura T; Yabuta Y; Okamoto I; Aramaki S; Yokobayashi S; Kurimoto K; Sekiguchi K; Nakagawa M; Yamamoto T; Saitou M
Nucleic Acids Res; 2015 May; 43(9):e60. PubMed ID: 25722368
[TBL] [Abstract][Full Text] [Related]
15. Identifying differential alternative splicing events from RNA sequencing data using RNASeq-MATS.
Park JW; Tokheim C; Shen S; Xing Y
Methods Mol Biol; 2013; 1038():171-9. PubMed ID: 23872975
[TBL] [Abstract][Full Text] [Related]
16. Transcriptome Sequencing: RNA-Seq.
Zhang H; He L; Cai L
Methods Mol Biol; 2018; 1754():15-27. PubMed ID: 29536435
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Nonparametric expression analysis using inferential replicate counts.
Zhu A; Srivastava A; Ibrahim JG; Patro R; Love MI
Nucleic Acids Res; 2019 Oct; 47(18):e105. PubMed ID: 31372651
[TBL] [Abstract][Full Text] [Related]
19. DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data.
Wang Z; Jin S; Liu G; Zhang X; Wang N; Wu D; Hu Y; Zhang C; Jiang Q; Xu L; Wang Y
BMC Bioinformatics; 2017 May; 18(1):270. PubMed ID: 28535748
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
