Two types of quantitive information are all that's needed to render the diagram: values for nodes and values for paths. The package assumes nodes are molecules of interest and that the quantitative value is the feature which makes them interesting, e.g. expression fold-change, significance value, or methylation score. Similarly, paths represent a predictive or quantitative measure of the interaction between molecules (e.g. correlation, affinity score).
Quantitative values are used to render the diagram. Molecules with strong quantitative values, multiple and strong interactions are automatically emphasized in the diagram. A connected series of such molecules would, in turn, identify potentially interesting regulatory cascades -- visual information not as easily nor intuitively conveyed with standard network approaches.
Package installation instructions for R are found on http://kzouchka.github.io/Director/
Icay, K. and Liu, C. and Hautaniemi, S. (2018)
Dynamic visualization of multi-level molecular data: The Director package in R
Comput Methods Programs Biomed 153: 129--136
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