lncRNA-disease association prediction based on latent factor model and projection

Abstract Computer aided research of lncRNA-disease association is an important way to study the development of lncRNA-disease. The correlation analysis of existing data, the establishment of prediction model, prediction of unknown lncRNA-disease association, can make the biological experiment target...

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Autores principales:	Bo Wang, Chao Zhang, Xiao-xin Du, Jian-fei Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/773e8f73e6c04adfb6520c47f3037361
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spelling	oai:doaj.org-article:773e8f73e6c04adfb6520c47f30373612021-12-02T16:56:43ZlncRNA-disease association prediction based on latent factor model and projection10.1038/s41598-021-99493-52045-2322https://doaj.org/article/773e8f73e6c04adfb6520c47f30373612021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99493-5https://doaj.org/toc/2045-2322Abstract Computer aided research of lncRNA-disease association is an important way to study the development of lncRNA-disease. The correlation analysis of existing data, the establishment of prediction model, prediction of unknown lncRNA-disease association, can make the biological experiment targeted, improve the accuracy of biological experiment. In this paper, a lncRNA-disease association prediction model based on latent factor model and projection is proposed (LFMP). This method uses lncRNA-miRNA association data and miRNA-disease association data to predict the unknown lncRNA-disease association, so this method does not need lncRNA-disease association data. The simulation results show that under the LOOCV framework, the AUC of LFMP can reach 0.8964. Better than the latest results. Through the case study of lung and colorectal tumors, LFMP can effectively infer the undetected lncRNA-disease association.Bo WangChao ZhangXiao-xin DuJian-fei ZhangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bo Wang Chao Zhang Xiao-xin Du Jian-fei Zhang lncRNA-disease association prediction based on latent factor model and projection
description	Abstract Computer aided research of lncRNA-disease association is an important way to study the development of lncRNA-disease. The correlation analysis of existing data, the establishment of prediction model, prediction of unknown lncRNA-disease association, can make the biological experiment targeted, improve the accuracy of biological experiment. In this paper, a lncRNA-disease association prediction model based on latent factor model and projection is proposed (LFMP). This method uses lncRNA-miRNA association data and miRNA-disease association data to predict the unknown lncRNA-disease association, so this method does not need lncRNA-disease association data. The simulation results show that under the LOOCV framework, the AUC of LFMP can reach 0.8964. Better than the latest results. Through the case study of lung and colorectal tumors, LFMP can effectively infer the undetected lncRNA-disease association.
format	article
author	Bo Wang Chao Zhang Xiao-xin Du Jian-fei Zhang
author_facet	Bo Wang Chao Zhang Xiao-xin Du Jian-fei Zhang
author_sort	Bo Wang
title	lncRNA-disease association prediction based on latent factor model and projection
title_short	lncRNA-disease association prediction based on latent factor model and projection
title_full	lncRNA-disease association prediction based on latent factor model and projection
title_fullStr	lncRNA-disease association prediction based on latent factor model and projection
title_full_unstemmed	lncRNA-disease association prediction based on latent factor model and projection
title_sort	lncrna-disease association prediction based on latent factor model and projection
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/773e8f73e6c04adfb6520c47f3037361
work_keys_str_mv	AT bowang lncrnadiseaseassociationpredictionbasedonlatentfactormodelandprojection AT chaozhang lncrnadiseaseassociationpredictionbasedonlatentfactormodelandprojection AT xiaoxindu lncrnadiseaseassociationpredictionbasedonlatentfactormodelandprojection AT jianfeizhang lncrnadiseaseassociationpredictionbasedonlatentfactormodelandprojection
_version_	1718382746618822656

lncRNA-disease association prediction based on latent factor model and projection

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