DDimerTest
Ddimertest is a statistical method designed to assess evidence for dimerization events in datasets that record pairwise interactions, such as protein-protein interaction networks, chemical association data, or social dyads. The method yields a measure of significance for the presence of dimers and is commonly implemented as a permutation-based test against a null model that preserves marginal distributions while randomizing pairings.
Methodology: The typical workflow starts with a dataset of observed pair interactions and a defined dyadic
Applications: Ddimertest is applied in proteomics to identify protein dimers, in computational chemistry to study self-association
History: The term Ddimertest appeared in illustrative methodological discussions to demonstrate how permutation tests can be
Limitations and considerations: Results depend on the choice of null model and score; the method assumes exchangeability