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Comment: regression analysis for epic array methylation data using limma
by
Basti
▴ 280
The columns of your design matrix `var` corresponds to the coefficients that are fitted by limma. If you check your design matrix, you will…
Answer: How to figure out the FC value from Limma
by
beslinail
• 0
I tried to FC column to dbl from chr. But FC colomn is changed by NA genlist_filter <- read_csv(file = "AD_control5.csv") genlist_fil…
Comment: WGCNA: correlations module-traits, and module membership-gene significance
by
annamariabugaj
▴ 10
Hello, sorry for my late response. this is the heatmap: https://drive.google.com/file/d/165fizcsWcA2uzRPVV2cKNPOcqM1d2WfG/view?usp=sharing…
Comment: regression analysis for epic array methylation data using limma
by
nabiyogesh
▴ 10
Thanks you so much Basti, could you please let me know how do we decide what coefficient number should we used? Why we are using coef=2 her…
Comment: How to figure out the FC value from Limma
by
beslinail
• 0
Thanks alot for the feedback. I also read the file.tsv in R but logFC 246.249.360.536.749 282.311.618.510.231 624.874.186.717.992 610.289…
Votes
A: Very low EdgeR Pvalues with very small sample size
A: Very low EdgeR Pvalues with very small sample size
Comment: Question on RNA-Seq single sample data analysis in EdgeR
Answer: Question on RNA-Seq single sample data analysis in EdgeR
Answer: Question on RNA-Seq single sample data analysis in EdgeR
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