Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences.

Background: There are two significant problems associated with predicting protein-protein interactions using the sequences of amino acids. The first problem is representing each sequence as a feature vector, and the second is designing a model that can identify the protein interactions. Thus, effective feature extraction methods can lead to improved model performance.