log2fC from limma on methylation analysis
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19 months ago
adeizadavid ▴ 10

Hi,

I used the M-values from 450k methylation data for analysis using limma workflow. How do I interpret the results? Does the fold change from the analysis mean hypo methylated vs hyper-methylated cpg sites versus the control? I know it means expression threshold if i am working with RNAseq, but since i am using a methylation dataset is the p-value the only vital information. My goal is to find differentially methylated regions but also identifying hypomethylated and hypermethylated cpg sites.

methylation limma minfi fold-change • 561 views
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Yes, you can identify hypo- and hyper-methylated sites thanks to the sign of log2FC

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oh okay. thanks

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