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degenes
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RNA-seq analysis across different experiments
limma
deseq2
normalization
degenes
design and contrast matrix
written 6.7 years ago by
mrigaya.mehra
▴ 10
3
votes
6
replies
1.3k
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Possible approach of compare/interpret RNA-Seq results with microarray gene expression describing the same phenotype
microarray
rnaseq
DEgenes
meta-analysis
limma
updated 7.2 years ago by
Aaron Lun
★ 28k • written 7.2 years ago by
svlachavas
▴ 830
2 results • Page
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Comment: Light difference when using coef vs omit a group when compare 3 groups.
by
Chris
• 0
Hi Gordon, thank you so much for further guidance! I discussed this issue with doctor know about Alzheimer and they don't expect significan…
Comment: Single-Cell Data Simulation from Bulk RNA-seq
by
wichaidi
• 0
Hi - I am wondering what you decided to do. I am currently in a similar condition where I need to create a toy scRNAseq data from bulk.
Comment: Methylation Analysis experiment design using Limma
by
hortense96
• 0
Hi, Thank you very much for your answer. It's true that I only used 6 samples for this analysis, which is consistent with your explanation…
Comment: Error using champ.import
by
shilpa
• 0
I'm having same issues too. Did anyone manage to resolve it?
Answer: Methylation Analysis experiment design using Limma
by
Gordon Smyth
50k
You don't explain how many samples you have (columns of data), but the warning message shown in your post would arise if there are in fact …
Votes
Answer: How many of my genes from my gene list are in each KEGG pathway?
Comment: Light difference when using coef vs omit a group when compare 3 groups.
DESeq2 variance transformation error and plot dispersion Estimate
A: DESeq2 variance transformation error and plot dispersion Estimate
ensembl to hgnc symbols creates duplicates
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