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

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, impro...

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Autores principales: Wang, Bo, Zhang, Chao, Du, Xiao-xin, Zhang, Jian-fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497550/
https://www.ncbi.nlm.nih.gov/pubmed/34620945
http://dx.doi.org/10.1038/s41598-021-99493-5
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author Wang, Bo
Zhang, Chao
Du, Xiao-xin
Zhang, Jian-fei
author_facet Wang, Bo
Zhang, Chao
Du, Xiao-xin
Zhang, Jian-fei
author_sort Wang, Bo
collection PubMed
description 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.
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spelling pubmed-84975502021-10-12 lncRNA-disease association prediction based on latent factor model and projection Wang, Bo Zhang, Chao Du, Xiao-xin Zhang, Jian-fei Sci Rep Article 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. Nature Publishing Group UK 2021-10-07 /pmc/articles/PMC8497550/ /pubmed/34620945 http://dx.doi.org/10.1038/s41598-021-99493-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Bo
Zhang, Chao
Du, Xiao-xin
Zhang, Jian-fei
lncRNA-disease association prediction based on latent factor model and projection
title 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_short lncRNA-disease association prediction based on latent factor model and projection
title_sort lncrna-disease association prediction based on latent factor model and projection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497550/
https://www.ncbi.nlm.nih.gov/pubmed/34620945
http://dx.doi.org/10.1038/s41598-021-99493-5
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AT zhangjianfei lncrnadiseaseassociationpredictionbasedonlatentfactormodelandprojection

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