LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification

Abstract Biomarker selection and cancer classification play an important role in knowledge discovery using genomic data. Successful identification of gene biomarkers and biological pathways can significantly improve the accuracy of diagnosis and help machine learning models have better performance o...

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Autores principales:	Xiao-Ying Liu, Sheng-Bing Wu, Wen-Quan Zeng, Zhan-Jiang Yuan, Hong-Bo Xu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e19c840865f04c5a980cb87fcd547687
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spelling	oai:doaj.org-article:e19c840865f04c5a980cb87fcd5476872021-12-02T13:34:01ZLogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification10.1038/s41598-020-79028-02045-2322https://doaj.org/article/e19c840865f04c5a980cb87fcd5476872020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79028-0https://doaj.org/toc/2045-2322Abstract Biomarker selection and cancer classification play an important role in knowledge discovery using genomic data. Successful identification of gene biomarkers and biological pathways can significantly improve the accuracy of diagnosis and help machine learning models have better performance on classification of different types of cancer. In this paper, we proposed a LogSum + L 2 penalized logistic regression model, and furthermore used a coordinate decent algorithm to solve it. The results of simulations and real experiments indicate that the proposed method is highly competitive among several state-of-the-art methods. Our proposed model achieves the excellent performance in group feature selection and classification problems.Xiao-Ying LiuSheng-Bing WuWen-Quan ZengZhan-Jiang YuanHong-Bo XuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Xiao-Ying Liu Sheng-Bing Wu Wen-Quan Zeng Zhan-Jiang Yuan Hong-Bo Xu LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
description	Abstract Biomarker selection and cancer classification play an important role in knowledge discovery using genomic data. Successful identification of gene biomarkers and biological pathways can significantly improve the accuracy of diagnosis and help machine learning models have better performance on classification of different types of cancer. In this paper, we proposed a LogSum + L 2 penalized logistic regression model, and furthermore used a coordinate decent algorithm to solve it. The results of simulations and real experiments indicate that the proposed method is highly competitive among several state-of-the-art methods. Our proposed model achieves the excellent performance in group feature selection and classification problems.
format	article
author	Xiao-Ying Liu Sheng-Bing Wu Wen-Quan Zeng Zhan-Jiang Yuan Hong-Bo Xu
author_facet	Xiao-Ying Liu Sheng-Bing Wu Wen-Quan Zeng Zhan-Jiang Yuan Hong-Bo Xu
author_sort	Xiao-Ying Liu
title	LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
title_short	LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
title_full	LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
title_fullStr	LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
title_full_unstemmed	LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification
title_sort	logsum + l 2 penalized logistic regression model for biomarker selection and cancer classification
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/e19c840865f04c5a980cb87fcd547687
work_keys_str_mv	AT xiaoyingliu logsuml2penalizedlogisticregressionmodelforbiomarkerselectionandcancerclassification AT shengbingwu logsuml2penalizedlogisticregressionmodelforbiomarkerselectionandcancerclassification AT wenquanzeng logsuml2penalizedlogisticregressionmodelforbiomarkerselectionandcancerclassification AT zhanjiangyuan logsuml2penalizedlogisticregressionmodelforbiomarkerselectionandcancerclassification AT hongboxu logsuml2penalizedlogisticregressionmodelforbiomarkerselectionandcancerclassification
_version_	1718392827351662592

LogSum + L 2 penalized logistic regression model for biomarker selection and cancer classification

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