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