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.
Generalized Needleman-Wunsch algorithm for the recognition of T-cell epitopes
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:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
