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Maximum parsimony protein assembly/inference
rforproteomics
proteomics
msnid
msnbase
3.7 years ago
daniel.magnus.bader
▴ 40
4
votes
5
replies
1.7k
views
How to convert a xlsx data file to MSnSet format?
msnbase
msmstests
proteomics
lc-ms/ms
msnID
updated 4.8 years ago by
Laurent Gatto
1.6k • written 4.8 years ago by
fgol
▴ 10
0
votes
14
replies
2.2k
views
Pbase: AddIdentificationData. How can I use MSnId objects (filtered psm) to build the Proteins database
pbase
MsnId
mzid
msnbase
updated 7.8 years ago by
Sebastian Gibb
▴ 80 • written 7.8 years ago by
viswanathan.raghuram
• 0
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Comment: Agilent Microarray Gene Oncology analysis gone wrong
by
SamGG
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Gordon said to let coef to its default value: topTable(fit, n=20)
Comment: Can the limma package be applied to Log2 RUV-normalized data?
by
Shaimaa Gamal
• 0
Hi Gordon, On what basis we can determine whether the dataset is large or not? I am working on a dataset of 515 samples and 5440 genes. I w…
Comment: Agilent Microarray Gene Oncology analysis gone wrong
by
samagbeyimodupe
• 0
Thank you for the quick response. i ran the codes again and removed all the other arguments for eBayes except for fit. I ran the line of co…
Comment: Correct the batch effect in methylation analysis in R
by
Gordon Smyth
49k
> Is it okay to apply removeBatchEffect before a limma analysis(limma linear model)? No, you should not apply any batch correction before …
Comment: Correct the batch effect in methylation analysis in R
by
kyj2226
• 0
Thank you for your response Gordon :) I've already run the code below, just add batch to the limma linear model design <- model.matri…
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Answer: Correct the batch effect in methylation analysis in R
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Answer: Filter genes by expression for voomLmFit
Answer: Filter genes by expression for voomLmFit
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