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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
5.7 years ago
Andrea Carenzo
• 0
0
votes
0
replies
932
views
Error while extracting pseudo amino acid composition using protr
r
source code
error
5.9 years ago
shreyasarkar0
• 0
2
votes
4
replies
1.1k
views
package "isa2", function isa.iterate()
source code
isa.iterate()
updated 6.9 years ago by
Haiying.Kong
▴ 110 • written 6.9 years ago by
zhang.jianhai
▴ 10
4
votes
4
replies
1.6k
views
Where can I use the VSN source code in C++?
vsn
r language
C++
source code
updated 7.2 years ago by
Lluís Revilla Sancho
▴ 730 • written 7.2 years ago by
core_wzw
• 0
0
votes
1
reply
1.1k
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get LCMS masses with more significant figures
source code
xcms
m/z
groupval
xcmsSet
updated 7.5 years ago by
Johannes Rainer
★ 2.0k • written 7.5 years ago by
juniormbarga
• 0
0
votes
3
replies
2.2k
views
Locating older version of Bioconductor packages
reproducibility
archive
source code
updated 8.6 years ago by
Dan Tenenbaum
★ 8.2k • written 8.6 years ago by
brucbruc
• 0
0
votes
2
replies
1.4k
views
Bioconductor source code - Errno::ECONNREFUSED in Codes#show
medips
bioconductor
error
source code
9.4 years ago
malbert1
• 0
7 results • Page
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Comment: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Dylan.Sheerin
• 0
Thank you very much, Gordon. I'll give voomLmFit a go! And for comparisons between the cohorts I presume duplicateCorrelation with standar…
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
by
Gordon Smyth
50k
Including subjectID in the design matrix always accounts for unbalanced sampling and patient variation but subjects with incomplete records…
Comment: Log-cpm values from limma
by
Gordon Smyth
50k
No, it does not mean that. `voom()` uses the design matrix, including the W covariates, to compute precision weights but not to adjust the …
Comment: Extremely small p-values using Limma for proteomic data
by
Abbey
• 0
This is the code. The only part I changed was adding the contrasts.fit as you suggested. Thanks for taking a look! ``` # Load necessary …
Comment: Extremely small p-values using Limma for proteomic data
by
James W. MacDonald
65k
Probably. I would not expect such large fold changes. But without seeing your code, who knows?
Votes
Answer: Multi-factorial, longitudinal disease progression analysis with unbalanced patie
Answer: Extremely small p-values using Limma for proteomic data
Bioconductor 3.19 is Released!
A: Volcanoplot with limma - RAW P-values or Adj.P-Values
Answer: Mac ARM64 build report for BioC 3.19 from 'kjohnson3' reporting ERROR which it
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