Entering edit mode
2.9 years ago
PCA Analysis to cluster experiments using H3K27ac signal mouse enhancers, taking log of signals + small pseudo count and then create a scatter plot.
I ran PCA analysis but getting complex numbers in eigen vectors and thus I am not able to plot a graph. Any idea on how to avoid complex numbers or dealing with such data.
I normalized my data using: I took log2(df+1.025)
How exactly can I normalize and shorten my data to avoid complex numbers?
What do you mean by complex numbers exactly? Are you getting an error?
How about standardizing the data by subtracting the mean? Or by subtracting the mean and scaling by standard deviation?