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Immunoglobulin Classification Based on FC* and GC* Features

Immunoglobulins have a pivotal role in disease regulation. Therefore, it is vital to accurately identify immunoglobulins to develop new drugs and research related diseases. Compared with utilizing high-dimension features to identify immunoglobulins, this research aimed to examine a method to classif...

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Autores principales: Wan, Hao, Zhang, Jina, Ding, Yijie, Wang, Hetian, Tian, Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819591/
https://www.ncbi.nlm.nih.gov/pubmed/35140745
http://dx.doi.org/10.3389/fgene.2021.827161
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author Wan, Hao
Zhang, Jina
Ding, Yijie
Wang, Hetian
Tian, Geng
author_facet Wan, Hao
Zhang, Jina
Ding, Yijie
Wang, Hetian
Tian, Geng
author_sort Wan, Hao
collection PubMed
description Immunoglobulins have a pivotal role in disease regulation. Therefore, it is vital to accurately identify immunoglobulins to develop new drugs and research related diseases. Compared with utilizing high-dimension features to identify immunoglobulins, this research aimed to examine a method to classify immunoglobulins and non-immunoglobulins using two features, FC* and GC*. Classification of 228 samples (109 immunoglobulin samples and 119 non-immunoglobulin samples) revealed that the overall accuracy was 80.7% in 10-fold cross-validation using the J48 classifier implemented in Weka software. The FC* feature identified in this study was found in the immunoglobulin subtype domain, which demonstrated that this extracted feature could represent functional and structural properties of immunoglobulins for forecasting.
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spelling pubmed-88195912022-02-08 Immunoglobulin Classification Based on FC* and GC* Features Wan, Hao Zhang, Jina Ding, Yijie Wang, Hetian Tian, Geng Front Genet Genetics Immunoglobulins have a pivotal role in disease regulation. Therefore, it is vital to accurately identify immunoglobulins to develop new drugs and research related diseases. Compared with utilizing high-dimension features to identify immunoglobulins, this research aimed to examine a method to classify immunoglobulins and non-immunoglobulins using two features, FC* and GC*. Classification of 228 samples (109 immunoglobulin samples and 119 non-immunoglobulin samples) revealed that the overall accuracy was 80.7% in 10-fold cross-validation using the J48 classifier implemented in Weka software. The FC* feature identified in this study was found in the immunoglobulin subtype domain, which demonstrated that this extracted feature could represent functional and structural properties of immunoglobulins for forecasting. Frontiers Media S.A. 2022-01-24 /pmc/articles/PMC8819591/ /pubmed/35140745 http://dx.doi.org/10.3389/fgene.2021.827161 Text en Copyright © 2022 Wan, Zhang, Ding, Wang and Tian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wan, Hao
Zhang, Jina
Ding, Yijie
Wang, Hetian
Tian, Geng
Immunoglobulin Classification Based on FC* and GC* Features
title Immunoglobulin Classification Based on FC* and GC* Features
title_full Immunoglobulin Classification Based on FC* and GC* Features
title_fullStr Immunoglobulin Classification Based on FC* and GC* Features
title_full_unstemmed Immunoglobulin Classification Based on FC* and GC* Features
title_short Immunoglobulin Classification Based on FC* and GC* Features
title_sort immunoglobulin classification based on fc* and gc* features
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819591/
https://www.ncbi.nlm.nih.gov/pubmed/35140745
http://dx.doi.org/10.3389/fgene.2021.827161
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