Generalized NeedlemanWunsch algorithm for the recognition of T-cell epitopes
In this paper, we propose a new encoding technique that combines the different physicochemical properties of amino acids together with NeedlemanWunsch algorithm. The algorithm was tested in the recognition of T-cell epitopes. A series of SVM classifiers, where each SVM is trained using a different physicochemical property, combined with the max rule enables us to obtain an improvement over the state-of-the-art approaches.
t-cell epitopes machine learning ensemble of classifiers