In this paper, we propose a new encoding technique that combines the different physicochemical properties of amino acids together with Needleman-Wunsch 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.
A. Lumini, L. Nanni (2008). Generalized Needleman-Wunsch algorithm for the recognition of T-cell epitopes. EXPERT SYSTEMS WITH APPLICATIONS, 35, 1463-1467 [10.1016/j.eswa.2007.08.028].
Generalized Needleman-Wunsch algorithm for the recognition of T-cell epitopes
LUMINI, ALESSANDRA;NANNI, LORIS
2008
Abstract
In this paper, we propose a new encoding technique that combines the different physicochemical properties of amino acids together with Needleman-Wunsch 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.File in questo prodotto:
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