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#1 |
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Location: Brazil Join Date: Apr 2014
Posts: 16
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Hello!
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 |
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#2 |
Senior Member
Location: California Join Date: Jul 2014
Posts: 198
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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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