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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Podrobná bibliografie
Hlavní autoři: Binti Solihah, Azhari Azhari, Aina Musdholifah
Médium: Článek
Jazyk:Indonesian
Vydáno: Universitas Muhammadiyah Purwokerto 2021-05-01
Edice:Jurnal Informatika
Témata:
sampling-based method, class imbalance, conformational epitope, b-cell, machine learning-based
On-line přístup: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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