razvanmarinescu
commented
1 year ago Glad it was useful Sneha! I don't think I understood the second part of the question, but for the first part, if you have skewed data, you can perhaps simply use our source code and apply a transformation that removes the skewness (for example log-transform of the biomarkers, or any other function that makes sense). Then you simply need to create a log-transform of the color legend in something like photoshop or in LaTeX.
pandyasneha
Dear team,
Thank you for this wonderful software! We are using this software to map pathology that are scaled from 0-1 or non-scaled values which are heavily skewed. Our values are heavily skewed in the range of 3.5-5, hence no matter what color we choose it ends up being a very subtle shade between last two colors in the range of pathology [0-5]. Same thing happens if I scale these values to 0-1. Is there a way I can show a scaled distribution of pathology values with hot color map or any other map that can show clear distinction of color on the glass brain? As in if I want to map scaled values that are in the range of 0-1 with say hot colormap (black -> red -> orange -> yellow), is it possible to do that? When I tried doing this, values were mapped to black and/or red discarding further interpolation from red to yellow.
Thank you, Sneha