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LFC
•
reset
4
votes
14
replies
17k
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standard error value (lfcSE) returned by DeSeq2
deseq2
deseq
lfc
lfcse
standard error
updated 7.1 years ago by
rraadd_8
• 0 • written 7.2 years ago by
tootiki
• 0
17
votes
7
replies
13k
views
DESeq2 lfcShrink() usage of coef vs. usage of contrast
deseq2
lfc
coef
contrast
updated 6.8 years ago by
Michael Love
41k • written 6.8 years ago by
Anke Busch
▴ 10
0
votes
7
replies
1.5k
views
LRT test followed by filtering based on LFC
deseq2
LFC
LRT
written 5.2 years ago by
sally.badawi
• 0
0
votes
6
replies
1.5k
views
large range of LFC in DESeq2
deseq2
lfc
betaprior
updated 18 months ago by
Michael Love
41k • written 5.4 years ago by
Mariaxi
• 0
6
votes
4
replies
2.7k
views
Identification of DEGs through limma analysis
limma
microarray
DEGs
p values
lfc
6.9 years ago
rkp
• 0
2
votes
1
reply
2.2k
views
Using Limma to identify any differences between multiple treatment groups (without making pairwise comparisons)
microarray
limma
multiple treatments
lfc
updated 8.0 years ago by
Aaron Lun
★ 28k • written 8.0 years ago by
brionyk9
• 0
1
vote
1
reply
783
views
Gene wise dispersion estimate Process - From the prior to the posterior
GLM
prior
DESeq
LFC
updated 23 months ago by
Michael Love
41k • written 23 months ago by
stew
• 0
0
votes
1
reply
1.1k
views
Filtering DESeq2 results for | LFC | > 1 genes
RNAseq
LFC
DEseq
2.9 years ago
ayy2110
• 0
8 results • Page
1 of 1
Recent ...
Replies
Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice! I ran fgsea, gsva and camera(), the most significant pathways are different. For the purpose of finding pathw…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
41k
Check the number of bootstrapped data per chromosome compared to the original, and then you can also look at its distribution. For this it'…
Comment: DNAString: Standard checksum function?
by
Henrik Bengtsson
★ 2.4k
For completeness: SEGUID v2 (https://www.seguid.org/), implemented in CRAN package **[seguid](https://cran.r-project.org/package=seguid)*…
Comment: fgsea significant result
by
Chris
• 0
Thanks ATpoint! Setting a fixed seed can reproduce the same result. However, if someone else analyze the same data with different seed, the…
Comment: SGSeq: moving toward diffex from SGSeq analysis
by
Sara
• 0
Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …
Votes
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
package goseq seems to be not available on the latest version of R
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