Research graph
References from Robustness of differential gene expression analysis of RNA-seq. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1101/gr.103697.109
10.1101/gr.103697.109 · External reference
10.3322/caac.21329
10.3322/caac.21329 · External reference
Next-generation sequencing: a change of paradigm in molecular diagnostic validation
10.1002/path.4365 · 2014 · External reference
10.1093/bib/bby051
10.1093/bib/bby051 · External reference
RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples
10.1186/s12864-017-3819-y · 2017 · External reference
10.1038/ng.3457
10.1038/ng.3457 · External reference
10.1101/gr.165126.113
10.1101/gr.165126.113 · External reference
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
10.1038/nbt.2957 · 2014 · External reference
10.1186/gb-2014-15-2-r29
10.1186/gb-2014-15-2-r29 · External reference
Unresolved reference
2006 · External reference
10.1093/bioinformatics/btp616
10.1093/bioinformatics/btp616 · External reference
10.1038/nbt.2450
10.1038/nbt.2450 · External reference
10.1093/bioinformatics/btt087
10.1093/bioinformatics/btt087 · External reference
10.1177/0962280211428386
10.1177/0962280211428386 · External reference
baySeq: empirical Bayesian methods for identifying differential expression in sequence count data
10.1186/1471-2105-11-422 · 2010 · External reference
NOIseq: a RNA-seq differential expression method robust for sequencing depth biases
10.14806/ej.17.b.265 · 2011 · External reference
rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data
10.1093/bioinformatics/btv119 · 2015 · External reference
10.1186/s13059-014-0550-8
10.1186/s13059-014-0550-8 · External reference
10.1038/nmeth.4324
10.1038/nmeth.4324 · External reference
10.1093/bioinformatics/btp324
10.1093/bioinformatics/btp324 · External reference
10.1038/nmeth.1923
10.1038/nmeth.1923 · External reference
10.1093/bioinformatics/bts635
10.1093/bioinformatics/bts635 · External reference
10.1038/nprot.2012.016
10.1038/nprot.2012.016 · External reference
10.1093/bioinformatics/btu638
10.1093/bioinformatics/btu638 · External reference
10.1093/bioinformatics/btt656
10.1093/bioinformatics/btt656 · External reference
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
10.1186/gb-2013-14-9-r95 · 2013 · External reference
10.1186/1471-2105-14-91
10.1186/1471-2105-14-91 · External reference
Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data
10.1186/s13059-018-1466-5 · 2018 · External reference
Stability of methods for differential expression analysis of RNA-seq data
2019 · External reference
RNA-seq differential expression studies: more sequence or more replication?
10.1093/bioinformatics/btt688 · 2013 · External reference
Comparison of software packages for detecting differential expression in RNA-seq studies
10.1093/bib/bbt086 · 2015 · External reference
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
10.1186/1471-2105-11-94 · 2010 · External reference
10.1093/bioinformatics/btv272
10.1093/bioinformatics/btv272 · External reference
10.1186/gb-2010-11-10-r106
10.1186/gb-2010-11-10-r106 · External reference
10.1038/nrg3642
10.1038/nrg3642 · External reference
Impact of Variable RNA-Sequencing Depth on Gene Expression Signatures and Target Compound Robustness: Case Study Examining Brain Tumor (Glioma) Disease Progression
10.1200/po.18.00014 · 2018 · External reference
10.1038/nmeth.1226
10.1038/nmeth.1226 · External reference
A scaling normalization method for differential expression analysis of RNA-seq data
10.1186/gb-2010-11-3-r25 · 2010 · External reference
10.1007/s10549-014-3019-2
10.1007/s10549-014-3019-2 · External reference
The UCSC genome browser database: 2014 update
10.1093/nar/gkt1168 · 2013 · External reference
A survey of best practices for RNA-seq data analysis
2016 · External reference
Ensembl 2014
10.1093/nar/gkt1196 · 2014 · External reference
10.1093/bioinformatics/btw475
10.1093/bioinformatics/btw475 · External reference
10.1186/gb-2010-11-2-r14
10.1186/gb-2010-11-2-r14 · External reference
10.1007/978-0-387-98141-3
10.1007/978-0-387-98141-3 · 2009 · External reference
VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R
10.1186/1471-2105-12-35 · 2011 · External reference
10.32614/cran.package.pmcmr
10.32614/cran.package.pmcmr · External reference
Power analysis and sample size estimation for RNA-Seq differential expression
10.1261/rna.046011.114 · 2014 · External reference
Comparing the normalization methods for the differential analysis of Illumina high-throughput RNA-Seq data
10.1186/s12859-015-0778-7 · 2015 · External reference
Empirical Bayes in the presence of exceptional cases, with application to microarray data
2013 · External reference
Comparison of alternative approaches for analysing multi-level RNA-seq data
10.1371/journal.pone.0182694 · 2017 · External reference
RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes
10.1186/s12864-018-4932-2 · 2018 · External reference
Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis
2017 · External reference
