Fig. 2From: Quantiprot - a Python package for quantitative analysis of protein sequencesFeature space visualization for the AmyLoad database. Amyloidogenic and non-amyloidogenic peptides in the feature space defined by their mean hydrophopathy and amino acid volume. The feature space of dimensions n×m was divided into windows of dimensions \(\frac {n}{k_{1}} \times \frac {m}{k_{2}}\), k 1=k 2=5, overlapping by factors \(\frac {n}{k_{1} \cdot l_{1}}\) and \(\frac {m}{k_{2} \cdot l_{2}}\), l 1=l 2=5. In the plots, each cell represents respective value (count, ratio, log p-value) in the window centered at the cellBack to article page