Sammendrag
Recent progress in the understanding of immune receptors suggests that complex interactions between amino acids are important in determining binding to antigens. Yet, current methods focus mostly on constructing good predictors for the data with complex models, and less on the understanding of the underlying interaction effects. Here, we attempt to retrieve high-order statistical interactions in immune receptor data with different methods. We study performance at this task in a large simulation study, and how it depends on the order, amount and strength of the interactions, witness rate and sample size. The results show that pairwise interactions are easily retrieved, but model complexity harms detection. Interactions are better detected in larger samples, but the process is then slower.
Vis fullstendig beskrivelse