log2fC from limma on methylation analysis
0
0
Entering edit mode
2.1 years 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 • 693 views
ADD COMMENT
0
Entering edit mode

Yes, you can identify hypo- and hyper-methylated sites thanks to the sign of log2FC

ADD REPLY
0
Entering edit mode

oh okay. thanks

ADD REPLY

Login before adding your answer.

Traffic: 1862 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6