Showing : edge • reset
1
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7
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1.6k
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EDGE: Persistent lrt() and odp() command pi0est() error due to low p values
edge qpcr qvalue
7.2 years ago • updated 6.2 years ago joe.d.moore.ii • 0
0
votes
2
replies
1.3k
views
edge, timeseries analysis, model specification question
edge timecourse fittimeseries
updated 8.5 years ago by • 0 • written 8.5 years ago by • 0
0
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2
replies
1.1k
views
Getting this error while trying to use edgeR "Error in as.vector(x, mode) : cannot coerce type 'closure' to vector of type 'any'"
edgeR edge
updated 17 months ago by 50k • written 17 months ago by • 0
0
votes
2
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623
views
Can EDGE analyse RNA-seq data?
edge RNA-seq
updated 4.9 years ago by 65k • written 4.9 years ago by ▴ 10
0
votes
2
replies
864
views
Longitudinal Time-Course microarray experiment with two time points
edge DGE microarray
updated 4.5 years ago by 50k • written 4.5 years ago by • 0
3
votes
2
replies
1.5k
views
MedIP-Seq: IP over Input with edgeR
edge
updated 8.5 years ago by ★ 28k • written 8.5 years ago by ▴ 20
0
votes
0
replies
624
views
Error in svd(X) when using edge lrt (or odp) function.
edge Microarray longitudinal
2.2 years ago emily • 0
0
votes
0
replies
596
views
Same results with static and time course analysis respectively in EDGE
edge
4.9 years ago xgt1986627 ▴ 10
0
votes
0
replies
765
views
Fold Change Calculation in edge package
edge microarray limma affy
4.9 years ago soumyab.g ▴ 10
0
votes
0
replies
862
views
Degrees of freedom and coefficients in an edge::deSet and edge::deFit objects
edge differential gene expression timecourse interaction
5.7 years ago rubi ▴ 110
1
vote
1
reply
645
views
export the significant results from EDGE
microarray edge
5.0 years ago • updated 4.9 years ago xgt1986627 ▴ 10
0
votes
0
replies
603
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static experiment in EDGE
microarray edge
4.9 years ago xgt1986627 ▴ 10
12 results • Page 1 of 1
Recent ...
Replies
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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