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MicroarrayData
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Problem with maplot {affy} method when using rma {affy} method output as its input
maplot_function
rma_function
ExpressionSet
MicroarrayData
affy
5 weeks ago
Mj.A.
• 0
5
votes
7
replies
456
views
DEG Filtering
MicroarrayData
limma
Genefiltering
updated 5 weeks ago by
Gordon Smyth
50k • written 7 weeks ago by
Amit
• 0
2
votes
6
replies
486
views
limma: vooma mean-variance trend and data filtration
MicroarrayData
limma
8 weeks ago • updated 5 weeks ago
Lily Cheang
▴ 10
0
votes
3
replies
574
views
Is it possible to extract the expression of a single group without making comparisons?
MicroarrayData
hta20transcriptcluster.db
updated 8 months ago by
Gordon Smyth
50k • written 8 months ago by
yaxade2481
• 0
5
votes
8
replies
1.5k
views
Can the limma package be applied to Log2 RUV-normalized data?
RUVnormalizeData
MicroarrayData
limma
updated 4 months ago by
Shaimaa Gamal
• 0 • written 11 months ago by
pg45863
▴ 10
5 results • Page
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Comment: Why does GSEA on edgeR results for randomized samples give highly significant p-
by
Chris
• 0
Thanks Gordon for the advice! I ran fgsea, gsva and camera(), the most significant pathways are different. For the purpose of finding pathw…
Comment: How to use bootRanges to bootstrap small RNA loci (nullranges package)
by
Michael Love
41k
Check the number of bootstrapped data per chromosome compared to the original, and then you can also look at its distribution. For this it'…
Comment: DNAString: Standard checksum function?
by
Henrik Bengtsson
★ 2.4k
For completeness: SEGUID v2 (https://www.seguid.org/), implemented in CRAN package **[seguid](https://cran.r-project.org/package=seguid)*…
Comment: fgsea significant result
by
Chris
• 0
Thanks ATpoint! Setting a fixed seed can reproduce the same result. However, if someone else analyze the same data with different seed, the…
Comment: SGSeq: moving toward diffex from SGSeq analysis
by
Sara
• 0
Thank you for your response. I have another question about saving the sgvc result as a CSV file. I would appreciate your help, please. ``` …
Votes
Answer: Why does GSEA on edgeR results for randomized samples give highly significant p-
Handling multiple differential expression comparisons
Answer: fgsea significant result
Answer: fgsea significant result
package goseq seems to be not available on the latest version of R
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