602 related articles for article (PubMed ID: 28459823)
21. TCC: an R package for comparing tag count data with robust normalization strategies.
Sun J; Nishiyama T; Shimizu K; Kadota K
BMC Bioinformatics; 2013 Jul; 14():219. PubMed ID: 23837715
[TBL] [Abstract][Full Text] [Related]
22. Evaluation of methods for differential expression analysis on multi-group RNA-seq count data.
Tang M; Sun J; Shimizu K; Kadota K
BMC Bioinformatics; 2015 Nov; 16():361. PubMed ID: 26538400
[TBL] [Abstract][Full Text] [Related]
23. LPEseq: Local-Pooled-Error Test for RNA Sequencing Experiments with a Small Number of Replicates.
Gim J; Won S; Park T
PLoS One; 2016; 11(8):e0159182. PubMed ID: 27532300
[TBL] [Abstract][Full Text] [Related]
24. SimSeq: a nonparametric approach to simulation of RNA-sequence datasets.
Benidt S; Nettleton D
Bioinformatics; 2015 Jul; 31(13):2131-40. PubMed ID: 25725090
[TBL] [Abstract][Full Text] [Related]
25. Comparison of normalization approaches for gene expression studies completed with high-throughput sequencing.
Abbas-Aghababazadeh F; Li Q; Fridley BL
PLoS One; 2018; 13(10):e0206312. PubMed ID: 30379879
[TBL] [Abstract][Full Text] [Related]
26. Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies.
Thorsen J; Brejnrod A; Mortensen M; Rasmussen MA; Stokholm J; Al-Soud WA; Sørensen S; Bisgaard H; Waage J
Microbiome; 2016 Nov; 4(1):62. PubMed ID: 27884206
[TBL] [Abstract][Full Text] [Related]
27. Count ratio model reveals bias affecting NGS fold changes.
Erhard F; Zimmer R
Nucleic Acids Res; 2015 Nov; 43(20):e136. PubMed ID: 26160885
[TBL] [Abstract][Full Text] [Related]
28. Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq data.
Yoon S; Nam D
BMC Genomics; 2017 May; 18(1):408. PubMed ID: 28545404
[TBL] [Abstract][Full Text] [Related]
29. Differential Expression Analysis in RNA-seq Data Using a Geometric Approach.
Tambonis T; Boareto M; Leite VBP
J Comput Biol; 2018 Nov; 25(11):1257-1265. PubMed ID: 30133310
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Benchmarking RNA-seq differential expression analysis methods using spike-in and simulation data.
Baik B; Yoon S; Nam D
PLoS One; 2020; 15(4):e0232271. PubMed ID: 32353015
[TBL] [Abstract][Full Text] [Related]
32. CORNAS: coverage-dependent RNA-Seq analysis of gene expression data without biological replicates.
Low JZB; Khang TF; Tammi MT
BMC Bioinformatics; 2017 Dec; 18(Suppl 16):575. PubMed ID: 29297307
[TBL] [Abstract][Full Text] [Related]
33. Comparison of false discovery rate methods in identifying genes with differential expression.
Qian HR; Huang S
Genomics; 2005 Oct; 86(4):495-503. PubMed ID: 16054333
[TBL] [Abstract][Full Text] [Related]
34. Evaluation of read count based RNAseq analysis methods.
Guo Y; Li CI; Ye F; Shyr Y
BMC Genomics; 2013; 14 Suppl 8(Suppl 8):S2. PubMed ID: 24564449
[TBL] [Abstract][Full Text] [Related]
35. A comparative study of RNA-Seq and microarray data analysis on the two examples of rectal-cancer patients and Burkitt Lymphoma cells.
Wolff A; Bayerlová M; Gaedcke J; Kube D; Beißbarth T
PLoS One; 2018; 13(5):e0197162. PubMed ID: 29768462
[TBL] [Abstract][Full Text] [Related]
36. deGPS is a powerful tool for detecting differential expression in RNA-sequencing studies.
Chu C; Fang Z; Hua X; Yang Y; Chen E; Cowley AW; Liang M; Liu P; Lu Y
BMC Genomics; 2015 Jun; 16(1):455. PubMed ID: 26070955
[TBL] [Abstract][Full Text] [Related]
37. RnaSeqSampleSize: real data based sample size estimation for RNA sequencing.
Zhao S; Li CI; Guo Y; Sheng Q; Shyr Y
BMC Bioinformatics; 2018 May; 19(1):191. PubMed ID: 29843589
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. 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]
40. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis.
Dillies MA; Rau A; Aubert J; Hennequet-Antier C; Jeanmougin M; Servant N; Keime C; Marot G; Castel D; Estelle J; Guernec G; Jagla B; Jouneau L; Laloë D; Le Gall C; Schaëffer B; Le Crom S; Guedj M; Jaffrézic F;
Brief Bioinform; 2013 Nov; 14(6):671-83. PubMed ID: 22988256
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
