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You can choose how the data is scaled (sometimes referred to as normalized). Navigate to Advanced options → Configure →  Feature scaling, Standardize (default for a heatmap) will make each column mean as zero and standard deviation as 1 in all features. This is the default scaling for a heatmap and it makes all of the features (e.g., genes or proteins) have equal weight; standardized values are also known as Z-scores. The scaling mode Shift will make each column mean as zero. Choose None None to not scale and perform clustering on the values in the quantified data node (this is the default for a bubble map). If a bubble map is scaled, scaling will be performed on the group summary method (color). 

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