Cargando…
A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier
Research on cytokine recognition is of great significance in the medical field due to the fact cytokines benefit the diagnosis and treatment of diseases, but the current methods for cytokine recognition have many shortcomings, such as low sensitivity and low F-score. Therefore, this paper proposes a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222536/ https://www.ncbi.nlm.nih.gov/pubmed/30103521 http://dx.doi.org/10.3390/molecules23082008 |
_version_ | 1783369228334661632 |
---|---|
author | Yang, Zhe Wang, Juan Zheng, Zhida Bai, Xin |
author_facet | Yang, Zhe Wang, Juan Zheng, Zhida Bai, Xin |
author_sort | Yang, Zhe |
collection | PubMed |
description | Research on cytokine recognition is of great significance in the medical field due to the fact cytokines benefit the diagnosis and treatment of diseases, but the current methods for cytokine recognition have many shortcomings, such as low sensitivity and low F-score. Therefore, this paper proposes a new method on the basis of feature combination. The features are extracted from compositions of amino acids, physicochemical properties, secondary structures, and evolutionary information. The classifier used in this paper is SVM. Experiments show that our method is better than other methods in terms of accuracy, sensitivity, specificity, F-score and Matthew’s correlation coefficient. |
format | Online Article Text |
id | pubmed-6222536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-62225362018-11-13 A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier Yang, Zhe Wang, Juan Zheng, Zhida Bai, Xin Molecules Article Research on cytokine recognition is of great significance in the medical field due to the fact cytokines benefit the diagnosis and treatment of diseases, but the current methods for cytokine recognition have many shortcomings, such as low sensitivity and low F-score. Therefore, this paper proposes a new method on the basis of feature combination. The features are extracted from compositions of amino acids, physicochemical properties, secondary structures, and evolutionary information. The classifier used in this paper is SVM. Experiments show that our method is better than other methods in terms of accuracy, sensitivity, specificity, F-score and Matthew’s correlation coefficient. MDPI 2018-08-11 /pmc/articles/PMC6222536/ /pubmed/30103521 http://dx.doi.org/10.3390/molecules23082008 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Zhe Wang, Juan Zheng, Zhida Bai, Xin A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier |
title | A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier |
title_full | A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier |
title_fullStr | A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier |
title_full_unstemmed | A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier |
title_short | A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier |
title_sort | new method for recognizing cytokines based on feature combination and a support vector machine classifier |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222536/ https://www.ncbi.nlm.nih.gov/pubmed/30103521 http://dx.doi.org/10.3390/molecules23082008 |
work_keys_str_mv | AT yangzhe anewmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT wangjuan anewmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT zhengzhida anewmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT baixin anewmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT yangzhe newmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT wangjuan newmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT zhengzhida newmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier AT baixin newmethodforrecognizingcytokinesbasedonfeaturecombinationandasupportvectormachineclassifier |