Large datasets visualization, prevalent in Bioinformatics, is a challenging task. Simple 2D layouts sometimes offer to many details to be instantly helpful, while filtering might remove critical information. Extension to 3D seems like the logical answer, however, in order to capture the complex relationships between data, the third dimension should reflect inherent properties. This paper proposes a novel method to generate 3D parameterized layouts, by using a function to correlate the Oz axis and biospecific features.
Keywords: 3D surface fitting; Complex networks; visualization tools.