updated 9 days ago by
Gordon Smyth
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written 9 days ago by
annikagable
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20 months ago
tangming2005
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Comment: Agilent Microarray Gene Oncology analysis gone wrong
by
SamGG
▴
320
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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