Prediction of Bacterial Virulent Proteins with Composition Moment Vector Feature Encoding Method

Prediction of bacterial virulent proteins is critical for vaccine development and understanding of virulence mechanisms in pathogens. For this purpose, a number of feature encoding methods based on sequences and evolutionary information of a given protein have been proposed and applied with some cla...

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Bibliographic Details
Main Authors: Gök Murat, Herand Deniz
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20164907001