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gene set testing
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992
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Interpretation of mroast p-value results for gene set testing of specific molecular signatures using microarray data
mroast
camera
gene set testing
5.2 years ago
svlachavas
▴ 840
4
votes
11
replies
3.6k
views
Dealing with duplicated genes in camera gene set testing
limma
camera
gene set testing
ensembl
updated 6.0 years ago by
Robert Castelo
★ 3.4k • written 6.0 years ago by
Jeremy Beales
▴ 10
2
votes
3
replies
1.9k
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 7.2 years ago by
Gordon Smyth
53k • written 7.2 years ago by
svlachavas
▴ 840
7
votes
2
replies
2.0k
views
Pre-ranked camera gene set testing with edgeR results
limma
camera
cameraPR
edgeR
gene set testing
updated 7.2 years ago by
Gordon Smyth
53k • written 7.2 years ago by
jamie.gearing
▴ 60
1
vote
4
replies
1.8k
views
Do the gene set statistics of the ROAST paper correspond to those implemented in the .roastEffects R function?
limma
roast
statistics
source code
gene set testing
7.3 years ago
Andrea Carenzo
• 0
0
votes
1
reply
1.8k
views
GAGE function and the same.dir option
gage
gene set testing
updated 7.5 years ago by
Luo Weijun
★ 1.6k • written 7.6 years ago by
Aurora
▴ 20
2
votes
4
replies
2.4k
views
EGSEA usage with microarray data (with vooma)?
EGSEA
gene set testing
vooma
limma voom
gsea
updated 19 months ago by
Chris
▴ 20 • written 8.9 years ago by
Pekka Kohonen
▴ 190
4
votes
6
replies
2.5k
views
Gene set Testing with Limma for Agilent IDs probes?
limma
agilent microarrays
gene set testing
annotation
8.9 years ago
Bouzid.a
▴ 20
7
votes
13
replies
3.4k
views
Test whether expression levels of two gene sets are significantly different
R
DESeq2
gene set testing
gene expression
9.1 years ago
Jon Bråte
▴ 270
3
votes
4
replies
2.2k
views
Competitive gene set testing between two sets of genes
gene set testing
camera
edger
updated 9.4 years ago by
Gordon Smyth
53k • written 9.4 years ago by
le2336
▴ 20
1
vote
0
replies
1.9k
views
Gene Set Testing or GSEA for functional annotation of co-expressed ncRNA and coding genes
gsea
ncrna
coexpression
gene set analysis
gene set testing
9.6 years ago
m.fletcher
▴ 20
1
vote
5
replies
2.7k
views
Confused by results from CAMERA gene set testing
limma
camera
gene set testing
9.6 years ago
claire.n.levy
▴ 10
7
votes
6
replies
3.8k
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 10.0 years ago by
Gordon Smyth
53k • written 10.0 years ago by
svlachavas
▴ 840
6
votes
10
replies
2.5k
views
Possible implementation of roast/mroast for testing common DE patterns across two different experiments
gene set testing
roast
mroast
differential gene expression
bioconductor
10.6 years ago
svlachavas
▴ 840
14 results • Page
1 of 1
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Replies
Comment: DECIPHER DesignProbes unable to design FISH-probes
by
Erik Wright
▴ 150
Are the sequences aligned (i.e., the same width) before running `TileSeqs()`?
Comment: BiocParallel (and DESeq2) - wrong args for environment subassignment
by
Michael Love
43k
BTW, I tested with no issue on MacOS ARM on our previous github issue.
Answer: DESeq(dds, parallel=TRUE) wrong args for environment subassignment
by
Michael Love
43k
The DESeq2 error makes sense, as we've talked about, given that the simple `bplapply` isn't working in your setup. Maybe give the traceb…
Answer: PTM analysis in LIMPA
by
Gordon Smyth
53k
For PTM analysis, the usual quantification command dpcQuant() is replaced by dpcImpute(). Otherwise the limpa pipeline is the same as for a…
Answer: problem reading bam files into nucleR
by
James W. MacDonald
68k
The first step is to update to the current versions of R/Bioconductor and try again. It's possible that you have run into a bug that's alre…
Votes
C: DESeq2 Following RSEM
Upcoming Ensembl API and data access changes - new blog post available
Comment: Highly similar RNA-seq samples in PCA - pooling or technical duplication?
Answer: Large logFC but somewhat high FDR
Comment: upstream git branches of bioc-release
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