Showing : quantification • reset
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Why is it better to count genes at the exon-level using subread::featureCounts()?
RNASeq Rsubread featureCounts Quantification
updated 22 months ago by 52k • written 22 months ago by • 0
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Quantification of Genes with RSubread::featureCounts() at exon-level vs gene-level?
Subread RNASeq featureCounts quantification
updated 2.0 years ago by 52k • written 2.0 years ago by • 0
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4
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1.3k
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gene Isoforms quantification using RNA-seq data
gene isoform quantification rna-seq
updated 5.3 years ago by ★ 1.4k • written 5.3 years ago by • 0
3 results • Page 1 of 1
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Comment: What type of counts data to import for performing Isoform analysis in edgeR by mohammedtoufiq91 ▴ 10
@gordonsmyth I will re-run Salmon with the --numGibbsSamples=50 option. Thank you.
Comment: Differential Expression Genes as Independent Variables by Gordon Smyth 52k
Such an analysis cannot be done in limma. Sorry, I cannot tell you how to do it or even whether it is possible.
Comment: Differential Expression Genes as Independent Variables by abadgerw • 0
The data that is repeated is a quantitative metric of post-mortem pathology across multiple sections. Not all patients have the same number…
Answer: Crossover design with limma by Gordon Smyth 52k
Your experiment is somewhat more elaborate than a classical crossover design because of the period-specific baseline controls. The analyses…
Answer: Differential Expression Genes as Independent Variables by Gordon Smyth 52k
Sorry, your question doesn't make sense to me. There are tens of thousands of genes and you can't run a mixed model analysis with one depen…
Votes
Comment: What type of counts data to import for performing Isoform analysis in edgeR
Answer: What type of counts data to import for performing Isoform analysis in edgeR
Transcript-level differential expression using DESeq2
Comment: What type of counts data to import for performing Isoform analysis in edgeR
Answer: What type of counts data to import for performing Isoform analysis in edgeR
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