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Old 05-17-2016, 07:30 AM   #1
Location: Brazil

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Default Correlation among genes of RNA-seq samples


I have RNA-seq data from two conditions: embryonic stem cells and cardiomyocytes differentiated from them. The data was aligned and the reads were counted using HTSeq.
I want to estimate the correlation among lncRNAs and mRNAs (estimate correlation among genes) expressed in the embryonic stem cells samples. What kind of normalization should I apply on my data to make it read to calculate correlation using pearson/spearman correlation?
I tried the function "varianceStabilizingTransformation" from DESeq2, but I am not quite sure it is the right way to normalize the data in my case.

Thank you
rakscalloni is offline   Reply With Quote
Old 05-17-2016, 08:58 AM   #2
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DESeq2's variance stabilizing transform is a good starting point. Clustering or network methods might be another thing to consider if you're looking for relationships among genes.
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