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mroast
•
reset
1
vote
3
replies
238
views
ROAST compare results with complex design
limma
mroast
roast
CAMERA
written 21 days ago by
Jiahao Tian
• 0
2
votes
1
reply
637
views
ROAST for small sets
limma
mroast
updated 5 months ago by
Gordon Smyth
53k • written 5 months ago by
Jiahao Tian
• 0
0
votes
0
replies
911
views
Interpretation of mroast p-value results for gene set testing of specific molecular signatures using microarray data
mroast
camera
gene set testing
5.0 years ago
svlachavas
▴ 840
4
votes
4
replies
1.9k
views
Interpreting mroast results
mroast
limma
roast
6.8 years ago
SB
• 0
1
vote
2
replies
1.8k
views
Explanation of mroast results for specific biological processes and error with barcodeplot function with a microarray dataset
limma
mroast
agilent microarrays
GO.BP
barcodeplot
updated 6.9 years ago by
Gordon Smyth
53k • written 6.9 years ago by
svlachavas
▴ 840
2
votes
3
replies
1.8k
views
Perform limma based gene-set testing for a two-group comparison in a microarray dataset regarding specific biological processes
limma
agilent microarrays
mroast
fry gene tests
gene set testing
updated 7.0 years ago by
Gordon Smyth
53k • written 7.0 years ago by
svlachavas
▴ 840
0
votes
2
replies
1.3k
views
mroast/fry with gene weights for most or all genes
limma
mroast
fry
updated 7.0 years ago by
Gordon Smyth
53k • written 7.0 years ago by
maltethodberg
▴ 180
3
votes
3
replies
1.3k
views
Conditions for using Fry
limma
mroast
fry
updated 7.1 years ago by
Gordon Smyth
53k • written 7.1 years ago by
siajunren
• 0
3
votes
4
replies
1.2k
views
Is number of rotations dependent on number of gene sets in mroast?
limma
mroast
updated 7.1 years ago by
Gordon Smyth
53k • written 7.1 years ago by
siajunren
• 0
0
votes
3
replies
2.3k
views
Barcodeplot limma function using two logFC lists
limma
edger
barcodeplot
gene set enrichment
mroast
updated 7.7 years ago by
Gordon Smyth
53k • written 7.7 years ago by
srmaruyama
• 0
0
votes
6
replies
2.3k
views
Different results obtained from mroast and camera from Deseq2 counts
limma
camera
mroast
tximport
updated 8.2 years ago by
James W. MacDonald
68k • written 8.2 years ago by
jarod_v6@libero.it
▴ 40
0
votes
2
replies
1.9k
views
using camera/roast/romer to find enriched gene sets from proteomics data
limma
proteomics
camera
mroast
romer
updated 9.0 years ago by
Gordon Smyth
53k • written 9.0 years ago by
natalia.pietrosemoli
• 0
2
votes
2
replies
1.7k
views
limma roast/mroast with patient-matched pre-/post- treatment
limma
roast
mroast
block
updated 9.2 years ago by
Ryan C. Thompson
★ 7.9k • written 9.2 years ago by
barbara.shih
• 0
2
votes
2
replies
1.6k
views
Running Roast with Gene Symbols of Curated Genes
mroast
roast
gene set
gene set analysis
edgeR
updated 9.3 years ago by
James W. MacDonald
68k • written 9.3 years ago by
lattalic
• 0
0
votes
3
replies
1.8k
views
ROAST using curated gene sets
edgeR
mroast
roast
9.3 years ago
lattalic
• 0
8
votes
4
replies
7.0k
views
Differences between edgeR's and limma+voom's implementation of camera/roast/romer
limma
edger
mroast
romer
camera
updated 9.6 years ago by
Steve Lianoglou
★ 13k • written 9.6 years ago by
maltethodberg
▴ 180
7
votes
6
replies
3.7k
views
Interpretation of mroast gene set analysis in R and appropriate use of the function barcode plot regarding a microarray dataset
limma
mroast
barcodeplot
KEGG
gene set testing
updated 9.8 years ago by
Gordon Smyth
53k • written 9.8 years ago by
svlachavas
▴ 840
7
votes
9
replies
3.6k
views
limma's mroast and romer
romer
mroast
limma
updated 10.0 years ago by
Gordon Smyth
53k • written 10.0 years ago by
Ilario De Toma
▴ 10
7
votes
10
replies
2.2k
views
Possible TF binding site enrichment analysis through mroast and conversion problems
TF binding site analysis
bioconductor
mroast
limma
promoter analysis
updated 10.3 years ago by
Aaron Lun
★ 29k • written 10.3 years ago by
svlachavas
▴ 840
5
votes
11
replies
2.3k
views
Appropriate methodologies for using various inputs(GOs, gene-sets) for mroast testing
limma
mroast
GSEA
GO
illumina human ht-12 v4
updated 10.3 years ago by
Aaron Lun
★ 29k • written 10.3 years ago by
svlachavas
▴ 840
0
votes
1
reply
1.9k
views
Graphic representation of mroast results
mroast
visualization
10.3 years ago
Elena Serrano
▴ 30
6
votes
10
replies
2.4k
views
Possible implementation of roast/mroast for testing common DE patterns across two different experiments
gene set testing
roast
mroast
differential gene expression
bioconductor
10.4 years ago
svlachavas
▴ 840
0
votes
4
replies
1.9k
views
Argument gene.data for the correct implementation of fuction pathview of the pathview package
mroast
limma
pathview
pathway analysis
updated 10.5 years ago by
Luo Weijun
★ 1.6k • written 10.5 years ago by
svlachavas
▴ 840
2
votes
6
replies
2.1k
views
Appropriate use of the function mroast to find KEGG pathways for differential expression
mroast
limma
pathway analysis
differential gene expression
affymetrix
10.5 years ago
svlachavas
▴ 840
24 results • Page
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Recent ...
Replies
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
Gordon Smyth
53k
I'm not sure that I understand. You have a dataset that, even after pseudo-bulking, still has 6000 samples? That is surprising. Retaining …
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
by
abaed
• 0
Hello again @gordonsmyth, I've now applied the analysis using a more detailed annotation of cell types/clusters, which includes about 100 …
Answer: Sharing a collection of datasets in ExperimentHub
by
shepherl
4.2k
107 packages would be a lot! It is certainly possible (and recommended) to implement one package that utilizes ExperimentHub for controlli…
Comment: GO.db and others package Download failure
by
James W. MacDonald
68k
Also, you never need to use anything but `BiocManager::install` to install any package, which has the beneficial side effect of ensuring th…
Comment: GO.db and others package Download failure
by
James W. MacDonald
68k
Yes. Your packages have odd Y version numbers (where the version is X.Y.Z). That means they are devel packages (release versions have even …
Votes
Comment: readDNAStringSet with non DNA characters
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Answer: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
Comment: Guidance on limma for pseudobulk scRNA-seq with multi-factor design
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