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REPEATED MEASURES
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7
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LIMMA: interpreting interaction terms in an unbalanced factorial design with repeated measures
LIMMA
FACTORIAL
REPEATED MEASURES
differential gene expression
8.7 years ago • updated 8.6 years ago
robert.maughan
• 0
0
votes
1
reply
4.0k
views
DESeq2 - How to study time course experiment taking subject variability into account?
deseq2
repeated measures
time course
updated 6.3 years ago by
Michael Love
42k • written 6.3 years ago by
Marion
• 0
8
votes
11
replies
2.4k
views
dream vignette says limma-voom repeated measures two-group comparison needs two duplicateCorrelation rounds which differs from limma user's guide and…
dream
variancePartition
limma
differential expression
repeated measures
updated 4.6 years ago by
Gordon Smyth
50k • written 4.6 years ago by
hermidalc
▴ 20
6
votes
5
replies
2.1k
views
Incorporating subject ID as random effect for repeated measures RNA-Seq analysis
limma
rna-seq
mixed model
repeated measures
updated 5.7 years ago by
Gordon Smyth
50k • written 5.7 years ago by
mikhael.manurung
▴ 270
3
votes
2
replies
1.6k
views
Repeated Measures, Within-Subject, Between-Groups RNAseq Analysis
edgeR
rnaseq
repeated measures
updated 6.1 years ago by
Ryan C. Thompson
★ 7.9k • written 6.1 years ago by
wjh180
• 0
2
votes
5
replies
1.4k
views
SVA for repeated measures design
SVA
deseq2
repeated measures
updated 4.6 years ago by
Robert Castelo
★ 3.3k • written 4.6 years ago by
sara.blocquiaux
• 0
1
vote
2
replies
853
views
Time series experiment analysis in DEseq2 without T=0 and three independent experiments with linked samples
deseq2
rnaseq
repeated measures
time series
design formula
updated 4.3 years ago by
Michael Love
42k • written 4.3 years ago by
Dorien
▴ 10
0
votes
0
replies
852
views
Model in metagenomeSeq
repeated measures
8.6 years ago
PJ
• 0
0
votes
4
replies
592
views
DESeq2 for repeated/clustered samples
deseq2
repeated measures
updated 4.4 years ago by
Michael Love
42k • written 4.4 years ago by
jperin
• 0
9 results • Page
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Answer: Numerical differences in DESeq2 output depending on different design matrix cons
by
Michael Love
42k
Yes there can be small numerical differences in the estimated quantities because of how the algorithms decide to stop iterating.
Answer: DESeq2- Mysterious interaction suppresses DEGs
by
Michael Love
42k
Removing samples from one group nevertheless changes the variance estimation (dispersion) for all comparisons. So you could have pushed one…
Comment: Ensembl plants at annotationHub?
by
Daniele
• 0
Hi, I'm using Ensembl Plants release 59 with the IWGSC RefSeq v1.1 gene annotation. Thanks a lot for replying so quickly!
Comment: Numerical differences in DESeq2 output depending on different design matrix cons
by
swbarnes2
★ 1.4k
If you restrict yourself to, say, genes with a baseMean > 50, are the numerical differences between the two designs significant?
Comment: DESeq2- Mysterious interaction suppresses DEGs
by
shaunpeterson
• 0
The images I tried to attach didn't attach. Here is the PCA (MDS) of all the samples, with the Cortex outlier highlighed. ![enter image de…
Votes
Answer: Error while installing BiocManager::install("org.Vdahliae.eg.db")
Comment: How can I create a eigencorplot of pca created from deseq2 object with PCAtools
Answer: Importing a GraphNEL into Cytoscape with RCy3 with error: "Error in cyrestPUT(pa
Answer: Importing a GraphNEL into Cytoscape with RCy3 with error: "Error in cyrestPUT(pa
Rsubread counting peaks ATACseq
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