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.
2008
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].
A. Lumini; L. Nanni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/63189
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