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Comment: Small RNA-seq Analysis DESEQ2 : Unexpected Significance by ATpoint ★ 3.6k
What is on the y-axis, show code?
Comment: Small RNA-seq Analysis DESEQ2 : Unexpected Significance by samer • 0
However, when examining the count plots, I've observed a frequent occurrence of significant adjusted p-values between conditions particular…
Comment: Small RNA-seq Analysis DESEQ2 : Unexpected Significance by samer • 0
I've conducted my DESeq2 analysis using the following code setup: dds <- DESeqDataSetFromMatrix(countData = data, colData = metadata, …
Comment: Can the limma package be applied to Log2 RUV-normalized data? by Shaimaa Gamal • 0
I see. Do you recommend a certain method to get norm.factors through calcNormFactors function espcially if the downstream analysis includes…
Comment: Can the limma package be applied to Log2 RUV-normalized data? by Gordon Smyth 49k
515 samples is certainly large enough.
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Comment: Can the limma package be applied to Log2 RUV-normalized data?
Comment: Can the limma package be applied to Log2 RUV-normalized data?
Answer: Correct the batch effect in methylation analysis in R
Comment: Why is DMRcate not available for Bioconductor version 3.18?
Answer: Correct the batch effect in methylation analysis in R
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