Prediction of Linear B-cell Epitopes using Manifold Adaptive Experimental Design and Random Forest Algorithm
Author:
Affiliation:
1. Institute of Applied Mathematics,Hebei Academy of Sciences,Shijiazhuang,China
2. Hebei Authentication Technology Engineering Research Center,Shijiazhuang,China
Funder
Hebei Academy of Science
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9688562/9688331/09689029.pdf?arnumber=9689029
Reference38 articles.
1. Manifold Adaptive Experimental Design for Text Categorization;deng;IEEE Transactions on Knowledge & Data Engineering 2012,0
2. Aggregate Features in Multisample Classification Problems
3. iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction
4. Analysis of Conformational B-Cell Epitopes in the Antibody-Antigen Complex Using the Depth Function and the Convex Hull
5. A novel conformational B-cell epitope prediction method based on mimotope and patch analysis
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3. Assessing the Predictive Ability of Computational Epitope Prediction Methods on Fel d 1 Allergen;2023-06-05
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