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gene set testing
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815
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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
4.5 years ago
svlachavas
▴ 840
4
votes
11
replies
2.8k
views
Dealing with duplicated genes in camera gene set testing
limma
camera
gene set testing
ensembl
updated 5.3 years ago by
Robert Castelo
★ 3.4k • written 5.3 years ago by
Jeremy Beales
▴ 10
2
votes
3
replies
1.7k
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 6.5 years ago by
Gordon Smyth
52k • written 6.5 years ago by
svlachavas
▴ 840
7
votes
2
replies
1.8k
views
Pre-ranked camera gene set testing with edgeR results
limma
camera
cameraPR
edgeR
gene set testing
updated 6.5 years ago by
Gordon Smyth
52k • written 6.5 years ago by
jamie.gearing
▴ 60
1
vote
4
replies
1.5k
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
6.6 years ago
Andrea Carenzo
• 0
0
votes
1
reply
1.6k
views
GAGE function and the same.dir option
gage
gene set testing
updated 6.8 years ago by
Luo Weijun
★ 1.6k • written 6.8 years ago by
Aurora
▴ 20
2
votes
4
replies
2.0k
views
EGSEA usage with microarray data (with vooma)?
EGSEA
gene set testing
vooma
limma voom
gsea
updated 10 months ago by
Chris
▴ 20 • written 8.2 years ago by
Pekka Kohonen
▴ 190
4
votes
6
replies
2.3k
views
Gene set Testing with Limma for Agilent IDs probes?
limma
agilent microarrays
gene set testing
annotation
8.2 years ago
Bouzid.a
▴ 20
7
votes
13
replies
2.9k
views
Test whether expression levels of two gene sets are significantly different
R
DESeq2
gene set testing
gene expression
8.4 years ago
Jon Bråte
▴ 260
3
votes
4
replies
1.9k
views
Competitive gene set testing between two sets of genes
gene set testing
camera
edger
updated 8.7 years ago by
Gordon Smyth
52k • written 8.7 years ago by
le2336
▴ 20
1
vote
0
replies
1.6k
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
8.9 years ago
m.fletcher
▴ 20
1
vote
5
replies
2.4k
views
Confused by results from CAMERA gene set testing
limma
camera
gene set testing
8.9 years ago
claire.n.levy
▴ 10
7
votes
6
replies
3.5k
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 9.3 years ago by
Gordon Smyth
52k • written 9.3 years ago by
svlachavas
▴ 840
6
votes
10
replies
2.2k
views
Possible implementation of roast/mroast for testing common DE patterns across two different experiments
gene set testing
roast
mroast
differential gene expression
bioconductor
9.9 years ago
svlachavas
▴ 840
14 results • Page
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Comment: pairedGSEA input files
by
shdam
▴ 10
Hi Sara, Apologies for the slow response! James is exactly right. Both `salmon` and `kallisto` can produce transcript counts, if you map …
Comment: Unused arguments error without used arguments in GSVA?
by
michaelarringtony
• 0
Perhaps from a direct call to gsva without the parameter [Sprunki Pyramixed][1] object [1]: https://pyramixed.io/
Comment: EdgeR Biological CVs
by
jeffreestary
• 0
By default, edgeR uses an empirical Bayes approach to shrink gene-wise dispersions toward a trended or [PolyTrack][1] common value, which i…
Comment: How to reverse complement some elements of a DNAStringSet
by
shrill.asp.tufl
• 0
Dealing with DNAStringSet manipulation can be tricky! When selectively reverse complementing sequences, consider how to efficiently retain …
Comment: Ensembl site unresponsive via biomaRt
by
mdeea123
▴ 10
I am also having issues using BioMart to run code that has worked before. The problem first occurred last week. As I have encountered these…
Votes
Answer: Is there any chance to solve "the model matrix is not full rank" in DESeq2?
clusterProfiler-GO enrichment Error
A: Machine learning in R book
Data preparation and Machine learning on time course RNAseq data
Data preparation and Machine learning on time course RNAseq data
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