Hi all,
I am looking into performing weighted co-expression like analysis on methylation data. Say ech sample has 10000 measurements, is there a guideline for how many samples I will need to construct meaningful co-expression networks of these measurements?
Any literature on the subject is appreciated.
Thank you, Dan
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daniel.cole.w •
Like any quantitative biological data analytics, for WCGNA higher number of samples gives robust co-expression clusters.
WCGNA recommends minimum 15 samples. However, I would recommend you to do a power calculation and perform appropriate filtering of probes/genes to derive optimal number of modules.
Is there any way to do a power calculation without a priori knowing/estimating the effect size?
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