The Empirical Comparison of Machine Learning Algorithm for the Class Imbalanced Problem in Conformational Epitope Prediction

The Empirical Comparison of Machine Learning Algorithm for the Class Imbalanced Problem in Conformational Epitope Prediction

A conformational epitope is a part of a protein-based vaccine. It is challenging to identify using an experiment. A computational model is developed to support identification. However, the imbalance class is one of the constraints to achieving optimal performance on the conformational epitope B cell...

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Bibliografiske detaljer
Main Authors: Binti Solihah, Azhari Azhari, Aina Musdholifah
Format: Article
Sprog:Indonesian
Udgivet: Universitas Muhammadiyah Purwokerto 2021-05-01
Serier:Jurnal Informatika
Fag:
sampling-based method, class imbalance, conformational epitope, b-cell, machine learning-based
Online adgang:http://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/9969

Internet

http://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/9969

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