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0
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991
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Comment:
Comment: replaceOutliers in DESeq2 : need to recompute size Factors ?
3.8 years ago
eleonoregravier
▴ 70
0
votes
2
replies
991
views
Comment:
Comment: replaceOutliers in DESeq2 : need to recompute size Factors ?
3.8 years ago
eleonoregravier
▴ 70
0
votes
4
replies
991
views
replaceOutliers in DESeq2 : need to recompute size Factors ?
DESeq2
3.8 years ago
eleonoregravier
▴ 70
0
votes
1
reply
5.0k
views
Comment:
C: Deseq2: How to adjust for baseline read counts when testing for groups differenc
5.0 years ago
eleonoregravier
▴ 70
4
votes
5
replies
2.5k
views
sample size determination in microarrays studies with limma analysis
limma
sample size
microarrays
statistical power
6.7 years ago
eleonoregravier
▴ 70
0
votes
2
replies
2.5k
views
Answer:
A: sample size determination in microarrays studies with limma analysis
6.7 years ago
eleonoregravier
▴ 70
0
votes
1
reply
1.4k
views
Comment:
C: Different microarrays annotations provided by toTable and annotateEset functions
6.9 years ago
eleonoregravier
▴ 70
1
vote
3
replies
1.4k
views
Different microarrays annotations provided by toTable and annotateEset functions
microarray
annotation
annotationdbi
affycoretools
annotationtools
updated 6.9 years ago by
James W. MacDonald
67k • written 6.9 years ago by
eleonoregravier
▴ 70
0
votes
1
reply
3.3k
views
Comment:
C: Batch with only one sample or condition
updated 9.0 years ago by
Gordon Smyth
52k • written 9.0 years ago by
eleonoregravier
▴ 70
0
votes
1
reply
3.3k
views
Comment:
C: Batch with only one sample or condition
9.0 years ago
eleonoregravier
▴ 70
0
votes
0
replies
3.3k
views
Comment:
C: Batch with only one sample or condition
9.0 years ago
eleonoregravier
▴ 70
8
votes
14
replies
3.3k
views
Batch with only one sample or condition
limma
batch effect
updated 9.0 years ago by
Gordon Smyth
52k • written 9.0 years ago by
eleonoregravier
▴ 70
0
votes
1
reply
3.3k
views
Comment:
C: Batch with only one sample or condition
updated 9.0 years ago by
Ryan C. Thompson
★ 7.9k • written 9.0 years ago by
eleonoregravier
▴ 70
0
votes
0
replies
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
0
votes
1
reply
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
0
votes
1
reply
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
0
votes
1
reply
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
0
votes
1
reply
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
0
votes
1
reply
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
0
votes
1
reply
3.4k
views
Comment:
C: limma with continous covariate depending on gene, 2 block variables, pairing and
9.1 years ago
eleonoregravier
▴ 70
6
votes
14
replies
3.4k
views
limma with continous covariate depending on gene, 2 block variables, pairing and technical replicates
limma
covariate
block
paired samples
technical replicates
updated 9.1 years ago by
Aaron Lun
★ 28k • written 9.1 years ago by
eleonoregravier
▴ 70
2
votes
1
reply
1.7k
views
Main effects in multi-level experiment in limma
limma
multifactorial design
updated 9.2 years ago by
Ryan C. Thompson
★ 7.9k • written 9.2 years ago by
eleonoregravier
▴ 70
0
votes
0
replies
9.2k
views
Comment:
C: batch effect : comBat or blocking in limma ?
9.2 years ago
eleonoregravier
▴ 70
0
votes
0
replies
9.2k
views
Comment:
C: batch effect : comBat or blocking in limma ?
9.2 years ago
eleonoregravier
▴ 70
7
votes
7
replies
9.2k
views
batch effect : comBat or blocking in limma ?
batch effect
combat
limma
block
updated 9.2 years ago by
Ryan C. Thompson
★ 7.9k • written 9.2 years ago by
eleonoregravier
▴ 70
0
votes
0
replies
3.3k
views
Comment:
C: Statistical analysis of Spectral count data : edgeR, limma or others ?
9.4 years ago
eleonoregravier
▴ 70
8
votes
2
replies
3.3k
views
Statistical analysis of Spectral count data : edgeR, limma or others ?
spectral counts
proteomics
limma
edger
deseq
updated 9.4 years ago by
Gordon Smyth
52k • written 9.4 years ago by
eleonoregravier
▴ 70
0
votes
1
reply
3.8k
views
Comment:
C: edgeR for metagenomic data
9.4 years ago
eleonoregravier
▴ 70
0
votes
0
replies
3.8k
views
Comment:
C: edgeR for metagenomic data
9.5 years ago
eleonoregravier
▴ 70
2
votes
8
replies
3.8k
views
edgeR for metagenomic data
edger
metagenomics
updated 9.5 years ago by
Joseph Nathaniel Paulson
▴ 280 • written 9.5 years ago by
eleonoregravier
▴ 70
0
votes
1
reply
3.8k
views
Answer:
A: edgeR for metagenomic data
9.5 years ago
eleonoregravier
▴ 70
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