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...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs: Binti Solihah, Azhari Azhari, Aina Musdholifah
Formaat: Artikel
Taal:Indonesian
Gepubliceerd in: Universitas Muhammadiyah Purwokerto 2021-05-01
Reeks:Jurnal Informatika
Onderwerpen:
sampling-based method, class imbalance, conformational epitope, b-cell, machine learning-based
Online toegang:http://jurnalnasional.ump.ac.id/index.php/JUITA/article/view/9969

Internet

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

Gelijkaardige items