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lfc
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7
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1.5k
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LRT test followed by filtering based on LFC
deseq2
LFC
LRT
written 5.2 years ago by
sally.badawi
• 0
1
vote
1
reply
784
views
Gene wise dispersion estimate Process - From the prior to the posterior
GLM
prior
DESeq
LFC
updated 23 months ago by
Michael Love
42k • 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
0
votes
6
replies
1.5k
views
large range of LFC in DESeq2
deseq2
lfc
betaprior
updated 18 months ago by
Michael Love
42k • written 5.4 years ago by
Mariaxi
• 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
42k • written 6.8 years ago by
Anke Busch
▴ 10
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
4
votes
14
replies
17k
views
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
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
8 results • Page
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Comment: Mac ARM64 build report for BioC 3.19 from 'kjohnson3' reporting ERROR which it
by
Hervé Pagès
16k
Indeed. Calculations involving floating point arithmetic are architecture-dependent, and testing the results should be done with `all.equal…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Poonam
• 0
I will follow what you suggested. I didn't use max gap anywhere. I was following statistic I and regarding the size of features, my small…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
42k
Oh I see, for the second question, I don't have a great answer. I typically think of one set as the anchor, whose ascertainment is driving …
Comment: Help with running egsea()
by
James W. MacDonald
65k
Oh, right. Ideally you would use NCBI (aka Entrez gene) IDs because they are way more likely to be unique. Gene symbols are broken down int…
Comment: Help with running egsea()
by
Chris
• 0
Thanks James! I update the question. The last question mean when we use `buildIdx()`, could we use gene symbol instead of entrezID. However…
Votes
Answer: How to save the DEXSeq results
Answer: minfi support of illumina Infinium methylationEPIC v2.0
Comment: minfi support of illumina Infinium methylationEPIC v2.0
Answer: Mac ARM64 build report for BioC 3.19 from 'kjohnson3' reporting ERROR which it
Comment: Help with running egsea()
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