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gene set testing
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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
4.2 years ago
svlachavas
▴ 840
4
votes
11
replies
2.5k
views
Dealing with duplicated genes in camera gene set testing
limma
camera
gene set testing
ensembl
updated 5.0 years ago by
Robert Castelo
★ 3.4k • written 5.0 years ago by
Jeremy Beales
▴ 10
2
votes
3
replies
1.6k
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 6.2 years ago by
Gordon Smyth
52k • written 6.2 years ago by
svlachavas
▴ 840
7
votes
2
replies
1.7k
views
Pre-ranked camera gene set testing with edgeR results
limma
camera
cameraPR
edgeR
gene set testing
updated 6.3 years ago by
Gordon Smyth
52k • written 6.3 years ago by
jamie.gearing
▴ 60
1
vote
4
replies
1.4k
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
6.3 years ago
Andrea Carenzo
• 0
0
votes
1
reply
1.5k
views
GAGE function and the same.dir option
gage
gene set testing
updated 6.6 years ago by
Luo Weijun
★ 1.6k • written 6.6 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 7 months ago by
Chris
▴ 20 • written 8.0 years ago by
Pekka Kohonen
▴ 190
4
votes
6
replies
2.2k
views
Gene set Testing with Limma for Agilent IDs probes?
limma
agilent microarrays
gene set testing
annotation
7.9 years ago
Bouzid.a
▴ 20
7
votes
13
replies
2.7k
views
Test whether expression levels of two gene sets are significantly different
R
DESeq2
gene set testing
gene expression
8.1 years ago
Jon Bråte
▴ 260
3
votes
4
replies
1.8k
views
Competitive gene set testing between two sets of genes
gene set testing
camera
edger
updated 8.5 years ago by
Gordon Smyth
52k • written 8.5 years ago by
le2336
▴ 20
1
vote
0
replies
1.5k
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
8.7 years ago
m.fletcher
▴ 20
1
vote
5
replies
2.3k
views
Confused by results from CAMERA gene set testing
limma
camera
gene set testing
8.7 years ago
claire.n.levy
▴ 10
7
votes
6
replies
3.4k
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 9.1 years ago by
Gordon Smyth
52k • written 9.1 years ago by
svlachavas
▴ 840
6
votes
10
replies
2.1k
views
Possible implementation of roast/mroast for testing common DE patterns across two different experiments
gene set testing
roast
mroast
differential gene expression
bioconductor
9.6 years ago
svlachavas
▴ 840
14 results • Page
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Comment: Cross-validation with multiple control subgroups in limma
by
Ali Barry
▴ 40
Thanks so much for taking the time here, the insights are much appreciated. I suspected I'd have to ad hoc compare results if I did repeat …
Answer: Cross-validation with multiple control subgroups in limma
by
Gordon Smyth
52k
limma doesn't do cross-validation or resampling. Like most classical linear modeling procedures in statistics, limma uses a statistical mod…
Comment: Issues with seqlevelsStyle when making custom txdb objects for genomes/annotatio
by
Robert Castelo
★ 3.4k
Hi Hervé, thank you very much for your input into how to properly build and manage TxDb objects. gDNAx has two main inputs, one or more BAM…
Comment: Biostrings: Error writing long reads (>200 kbps) with writeQualityScaledXStringS
by
Aidan
▴ 60
Quick update: this is fixed in a branch awaiting PR to Biostrings (https://github.com/Bioconductor/Biostrings/pull/122). Should be in `deve…
Answer: Can DESeq2's design compensate for sequencing experimental design shortcomings?
by
Michael Love
43k
For statistical analysis plans, I recommend working with a local statistician or someone familiar with linear models in R. I have to reserv…
Votes
C: edgeR and lack of counts ID on CPM matrix
A: DESeq2 Following RSEM
A: importing RSEM data into DESeq2
A: Expected counts from RSEM in DESeq2
A: Using RSEM reads for DESeq2
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martin.grigorov
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James W. MacDonald
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