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gene expression
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LIMMA for paired analysis with adjustment for confounding continuous variables
limma
gene expression
confounding
adjustment
paired
8.5 years ago
Loodramon
• 0
0
votes
2
replies
2.9k
views
barplot with ggplot2 for gene expression
ggplot2
barplot
gene expression
gene expression
updated 8.7 years ago by
James W. MacDonald
65k • written 8.7 years ago by
alakatos
▴ 130
1
vote
1
reply
2.6k
views
sva and svaseq for unsupervised analysis of expression data
sva
combat
gene expression
batch effect
rnaseq
updated 8.6 years ago by
Jeff Leek
▴ 650 • written 8.7 years ago by
Farshad Farshidfar
▴ 10
0
votes
0
replies
1.0k
views
Help with generating network from gene expression data
gene expression
network
cytoscape
6.3 years ago
torgeirous
• 0
4 results • Page
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Comment: Too many significant genes when integrating gtex and tcga
by
Michael Love
41k
Yes, this was one of the aspects we highlighted in the 2014 paper, and it's also in the workflow. Check these places first. Also take a st…
Answer: Too many significant genes when integrating gtex and tcga
by
James W. MacDonald
65k
See `?results`, in particular the lfcThreshold argument.
Comment: Once again a "Model matrix not full rank"
by
James W. MacDonald
65k
You already ran a temporal assay. Now you can compare each time point to the baseline. The interaction term is only applicable if you have…
Comment: Timecourse RNASeq analysis
by
Aurora
• 0
I managed to run ImpulseDE2 as I am interested in getting significant gene changes over time. Now I would like to run deseq as well and com…
Comment: Once again a "Model matrix not full rank"
by
arfranco
▴ 130
But.. How to run a temporal assay?
Votes
Answer: Too many significant genes when integrating gtex and tcga
Comment: Too many significant genes when integrating gtex and tcga
A: Print Differentially Expressed Exons From Dexseq Results
stuck on unimplemented type 'list' in 'EncodeElement'
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