Pearson's Correlation Coefficient and expression matrix
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5.1 years ago

Hi every one,

I have an expression matrix, the rows contain 550 mutual DEGs and columns contain 73 samples (550*73), samples are divided into 2 groups (control and case), 30 sample for control and 43 samples for the case. I want to calculate Pearson's Correlation Coefficient for each group to construct a co-expression network.

I would be grateful if you could guide me to do it.

R • 3.8k views
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What about MDS? I think that to your purpose it would be more illustrative/explanative..

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Mutual differential expression genes contain up and down-regulated genes.

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5.1 years ago
biobiu ▴ 150

Use the function cor in R. You have a good example here.

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Thank you so much for your guidance.

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