iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction

iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction

Identification of B-cell epitopes (BCEs) is a fundamental step for epitope-based vaccine development, antibody production, and disease prevention and diagnosis. Due to the avalanche of protein sequence data discovered in postgenomic age, it is essential to develop an automated computational method t...

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Bibliographic Details
Main Authors: Balachandran Manavalan, Rajiv Gandhi Govindaraj, Tae Hwan Shin, Myeong Ok Kim, Gwang Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Immunology
Subjects:
B-cell epitope
ensemble learning
extremely randomized tree
gradient boosting
immunotherapy
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2018.01695/full

Internet

https://www.frontiersin.org/article/10.3389/fimmu.2018.01695/full

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