friends.test: Rank-Based Feature Selection for Interaction Matrices

This paper introduces a novel method, friends.test, for feature selection in interaction matrices, a common problem in various scientific domains. The method's key strength lies in its rank-based approach, which makes it robust to data heterogeneity and allows for integration of data from different sources. The use of model fitting to identify specific interactions is also a notable aspect. The availability of an R implementation is a practical advantage.

• •friends.test is a rank-based method for feature selection in interaction matrices.
• •The method is designed to handle heterogeneous data from diverse sources.
• •It uses model fitting to identify specific interactions.
• •An R implementation is available for practical use.