% Example data for demonstration
% Replace these with your actual corrMap and pValueMap variables
corrMap = rand(100); % 100x100 matrix of correlation values
pValueMap = rand(100); % 100x100 matrix of p-values
% Display the correlation map
imagesc(corrMap);
colormap('jet'); % Use a colormap of your choice
colorbar;
title('Correlation Map with Significant P-values Highlighted');
xlabel('X-axis Label');
ylabel('Y-axis Label');
% Hold on to overlay the dots
hold on;
% Get the indices where p-value is less than 0.05
[rows, cols] = find(pValueMap < 0.05);
% Overlay dots at these positions
% 'wo' stands for white circle, change the color/marker as needed
plot(cols, rows, 'wo', 'MarkerSize', 4);
% Hold off if you're done plotting
hold off;
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It's important to note that the advice and code are based on limited information and meant for educational purposes. Users should verify and adapt the code to their specific needs, ensuring compatibility and adherence to ethical standards.
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