Scale gene expression (treat genes as an independent). Add Normalize data button in Options, the default is checked. Probably we should use a combination of normalization and scaling to use scaling (mean, std) first and then normalize to cut-off the tails at three sigma to handle the outliers.
The idea is to bring all the genes to the same scale, so that to equalize the rendering of the data that contains highly expressed genes and genes with low expression (x <= -3sigma -> 0, x >= 3sigma -> 1).
Scale gene expression (treat genes as an independent). Add Normalize data button in Options, the default is checked. Probably we should use a combination of normalization and scaling to use scaling (mean, std) first and then normalize to cut-off the tails at three sigma to handle the outliers.
The idea is to bring all the genes to the same scale, so that to equalize the rendering of the data that contains highly expressed genes and genes with low expression (x <= -3sigma -> 0, x >= 3sigma -> 1).