273 related articles for article (PubMed ID: 23104842)
1. Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates.
Lund SP; Nettleton D; McCarthy DJ; Smyth GK
Stat Appl Genet Mol Biol; 2012 Oct; 11(5):. PubMed ID: 23104842
[TBL] [Abstract][Full Text] [Related]
2. Comparing next-generation sequencing and microarray technologies in a toxicological study of the effects of aristolochic acid on rat kidneys.
Su Z; Li Z; Chen T; Li QZ; Fang H; Ding D; Ge W; Ning B; Hong H; Perkins RG; Tong W; Shi L
Chem Res Toxicol; 2011 Sep; 24(9):1486-93. PubMed ID: 21834575
[TBL] [Abstract][Full Text] [Related]
3. Bayesian analysis of RNA sequencing data by estimating multiple shrinkage priors.
Van De Wiel MA; Leday GG; Pardo L; Rue H; Van Der Vaart AW; Van Wieringen WN
Biostatistics; 2013 Jan; 14(1):113-28. PubMed ID: 22988280
[TBL] [Abstract][Full Text] [Related]
4. A comparison of statistical methods for detecting differentially expressed genes from RNA-seq data.
Kvam VM; Liu P; Si Y
Am J Bot; 2012 Feb; 99(2):248-56. PubMed ID: 22268221
[TBL] [Abstract][Full Text] [Related]
5. BALLI: Bartlett-adjusted likelihood-based linear model approach for identifying differentially expressed genes with RNA-seq data.
Park K; An J; Gim J; Seo M; Lee W; Park T; Won S
BMC Genomics; 2019 Jul; 20(1):540. PubMed ID: 31266443
[TBL] [Abstract][Full Text] [Related]
6. Statistical detection of differentially expressed genes based on RNA-seq: from biological to phylogenetic replicates.
Gu X
Brief Bioinform; 2016 Mar; 17(2):243-8. PubMed ID: 26108230
[TBL] [Abstract][Full Text] [Related]
7. Shrinkage estimation of effect sizes as an alternative to hypothesis testing followed by estimation in high-dimensional biology: applications to differential gene expression.
Montazeri Z; Yanofsky CM; Bickel DR
Stat Appl Genet Mol Biol; 2010; 9():Article23. PubMed ID: 20597849
[TBL] [Abstract][Full Text] [Related]
8. Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads.
Chen HI; Liu Y; Zou Y; Lai Z; Sarkar D; Huang Y; Chen Y
BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S14. PubMed ID: 26099631
[TBL] [Abstract][Full Text] [Related]
9. It's DE-licious: A Recipe for Differential Expression Analyses of RNA-seq Experiments Using Quasi-Likelihood Methods in edgeR.
Lun AT; Chen Y; Smyth GK
Methods Mol Biol; 2016; 1418():391-416. PubMed ID: 27008025
[TBL] [Abstract][Full Text] [Related]
10. Empirical bayesian selection of hypothesis testing procedures for analysis of sequence count expression data.
Pounds SB; Gao CL; Zhang H
Stat Appl Genet Mol Biol; 2012 Oct; 11(5):. PubMed ID: 23104841
[TBL] [Abstract][Full Text] [Related]
11. MicroRNA expression analysis using the Illumina microRNA-Seq Platform.
Luo S
Methods Mol Biol; 2012; 822():183-8. PubMed ID: 22144199
[TBL] [Abstract][Full Text] [Related]
12. Small RNA transcriptome investigation based on next-generation sequencing technology.
Zhou L; Li X; Liu Q; Zhao F; Wu J
J Genet Genomics; 2011 Nov; 38(11):505-13. PubMed ID: 22133681
[TBL] [Abstract][Full Text] [Related]
13. How to analyze gene expression using RNA-sequencing data.
Ramsköld D; Kavak E; Sandberg R
Methods Mol Biol; 2012; 802():259-74. PubMed ID: 22130886
[TBL] [Abstract][Full Text] [Related]
14. PLNseq: a multivariate Poisson lognormal distribution for high-throughput matched RNA-sequencing read count data.
Zhang H; Xu J; Jiang N; Hu X; Luo Z
Stat Med; 2015 Apr; 34(9):1577-89. PubMed ID: 25641202
[TBL] [Abstract][Full Text] [Related]
15. Small-sample estimation of negative binomial dispersion, with applications to SAGE data.
Robinson MD; Smyth GK
Biostatistics; 2008 Apr; 9(2):321-32. PubMed ID: 17728317
[TBL] [Abstract][Full Text] [Related]
16. A two-step integrated approach to detect differentially expressed genes in RNA-Seq data.
Al Mahi N; Begum M
J Bioinform Comput Biol; 2016 Dec; 14(6):1650034. PubMed ID: 27774870
[TBL] [Abstract][Full Text] [Related]
17. DegPack: a web package using a non-parametric and information theoretic algorithm to identify differentially expressed genes in multiclass RNA-seq samples.
An J; Kim K; Chae H; Kim S
Methods; 2014 Oct; 69(3):306-14. PubMed ID: 24981074
[TBL] [Abstract][Full Text] [Related]
18. Next generation RNA-sequencing in prognostic subsets of chronic lymphocytic leukemia.
Mansouri L; Gunnarsson R; Sutton LA; Ameur A; Hooper SD; Mayrhofer M; Juliusson G; Isaksson A; Gyllensten U; Rosenquist R
Am J Hematol; 2012 Jul; 87(7):737-40. PubMed ID: 22674506
[TBL] [Abstract][Full Text] [Related]
19. Characterizing short read sequencing for gene discovery and RNA-Seq analysis in Crassostrea gigas.
Gavery MR; Roberts SB
Comp Biochem Physiol Part D Genomics Proteomics; 2012 Jun; 7(2):94-9. PubMed ID: 22244882
[TBL] [Abstract][Full Text] [Related]
20. A comparison between ribo-minus RNA-sequencing and polyA-selected RNA-sequencing.
Cui P; Lin Q; Ding F; Xin C; Gong W; Zhang L; Geng J; Zhang B; Yu X; Yang J; Hu S; Yu J
Genomics; 2010 Nov; 96(5):259-65. PubMed ID: 20688152
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
