Smoothing/normalizing heat map based on sample size at each location
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Looking for help normalizing the weights of a heatmap (imagesc) based on the sample sizes found at each location. To elaborate, each square of the heatmap has a weight that is calculated and skewed based on a sample size metric. Anyone know of any smoothing or normalizing functions that would fix the skewing of locations with high sample sizes vs locations with low sample sizes?
Tldr: normalize weights of a heatmap based on an array of values for each location
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