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interaction term
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0
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6
replies
2.0k
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DESeq2 It is correct to use interaction term for patient variability?
deseq2
design
interaction term
R
written 7.2 years ago by
briverog
• 0
0
votes
6
replies
1.2k
views
DESeq2- design matrix with multiple factors, taking gender into consideration
deseq2
multifactor
interaction term
gender effect
3-factors
updated 6.0 years ago by
Michael Love
43k • written 6.0 years ago by
kmu004
▴ 50
1
vote
3
replies
971
views
Deseq2 Interaction Term to catch
deseq2
interaction term
6.6 years ago
guipagui
• 0
2
votes
7
replies
2.7k
views
DESeq2 error with lfcshrink for interaction term
deseq2
interaction term
updated 6.6 years ago by
Michael Love
43k • written 6.6 years ago by
Cece
• 0
2
votes
4
replies
7.8k
views
Understanding Contrasts when analyzing DESeq2 results
deseq2
extracting contrasts
rnaseq
interaction term
updated 6.8 years ago by
swbarnes2
★ 1.4k • written 6.8 years ago by
Amit Indap
▴ 10
0
votes
1
reply
1.6k
views
DESeq2::lfcshrink() for complex contrast designs
deseq2
lfcshrink
interaction term
updated 7.0 years ago by
Michael Love
43k • written 7.0 years ago by
krutherford
• 0
1
vote
3
replies
1.3k
views
DESEq2: the use of interaction term and grouping with different betaPrior arguments in older version of DESEq2
deseq2
interaction term
multiple groups
betaprior
updated 7.0 years ago by
Michael Love
43k • written 7.0 years ago by
tarun2
• 0
1
vote
12
replies
2.0k
views
DESeq2 multifactor design with interaction term
deseq2
multiple factor design
interaction term
updated 7.2 years ago by
Michael Love
43k • written 7.2 years ago by
Giovanni Bacci
• 0
1
vote
8
replies
1.9k
views
design versus interaction term similarities and/or differences?
deseq2
ANOVA
design
interaction term
updated 7.2 years ago by
Michael Love
43k • written 7.2 years ago by
tarun2
• 0
8
votes
3
replies
5.7k
views
DESeq2 with interaction using SVA
deseq2
sva
interaction term
grouping variable
deseq
7.3 years ago
kevin.kingsland
▴ 70
5
votes
2
replies
4.1k
views
Interaction term - Model matrix not full rank
deseq2
interaction term
updated 7.6 years ago by
Michael Love
43k • written 7.6 years ago by
sofiagreen72211
▴ 10
0
votes
3
replies
5.4k
views
DESeq2 Multiple Variable Nested Design
deseq2
multiple factor design
nested design
interaction term
updated 8.0 years ago by
Michael Love
43k • written 8.0 years ago by
zahra.aboukhalil
• 0
8
votes
4
replies
2.5k
views
DESeq2: interaction term as in limma
deseq2
deseq
limma
interaction term
updated 8.0 years ago by
Simon Anders
★ 3.8k • written 8.0 years ago by
sbcn
▴ 80
13 results • Page
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Comment: Cannot extract size factor from DESeq2 analysis
by
s.malik
• 0
Dear Mike, using tximeta and following code, is this fine to extract normalized counts after `sizeFactors(dds)` gives NULL? `dds <- DESeq…
Comment: Design formula for circadian time-course data for vst() function
by
Vishnu
• 0
Thank you so much for your reply.
Comment: Analyzing TnSeq data with DESeq2
by
Tom
• 0
[Doncaster Locksmith][1] delivers trusted, efficient security services tailored to your needs. Analyzing TnSeq data with DESeq2 may uncover…
Answer: Design formula for circadian time-course data for vst() function
by
ATpoint
★ 4.8k
This was asked before: https://support.bioconductor.org/p/9148734/#9148812 Take-home message is that influence is minor, as you see your…
Comment: Filtering after DESeq
by
caroline.zanchi
• 0
... I did it. It does filter out quite a bit of genes : ``` keep <- filterByExpr(dds, group="host_treatment_generation",min.count = 10, mi…
Votes
A: DESeq2::sizeFactors() function does not output the sizeFactor table.
Comment: Filtering after DESeq
A: Normalized counts from DESeq2 results in similar but not equal total read count?
A: DESeq2: Different Dispersions for different sample groups
A: Contrasts & coefficients in limma
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