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Network Consistency Projection for Human miRNA-Disease Associations Inference
Prediction and confirmation of the presence of disease-related miRNAs is beneficial to understand disease mechanisms at the miRNA level. However, the use of experimental verification to identify disease-related miRNAs is expensive and time-consuming. Effective computational approaches used to predic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078764/ https://www.ncbi.nlm.nih.gov/pubmed/27779232 http://dx.doi.org/10.1038/srep36054 |
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author | Gu, Changlong Liao, Bo Li, Xiaoying Li, Keqin |
author_facet | Gu, Changlong Liao, Bo Li, Xiaoying Li, Keqin |
author_sort | Gu, Changlong |
collection | PubMed |
description | Prediction and confirmation of the presence of disease-related miRNAs is beneficial to understand disease mechanisms at the miRNA level. However, the use of experimental verification to identify disease-related miRNAs is expensive and time-consuming. Effective computational approaches used to predict miRNA-disease associations are highly specific. In this study, we develop the Network Consistency Projection for miRNA-Disease Associations (NCPMDA) method to reveal the potential associations between miRNAs and diseases. NCPMDA is a non-parametric universal network-based method that can simultaneously predict miRNA-disease associations in all diseases but does not require negative samples. NCPMDA can also confirm the presence of miRNAs in isolated diseases (diseases without any known miRNA association). Leave-one-out cross validation and case studies have shown that the predictive performance of NCPMDA is superior over that of previous method. |
format | Online Article Text |
id | pubmed-5078764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50787642016-10-28 Network Consistency Projection for Human miRNA-Disease Associations Inference Gu, Changlong Liao, Bo Li, Xiaoying Li, Keqin Sci Rep Article Prediction and confirmation of the presence of disease-related miRNAs is beneficial to understand disease mechanisms at the miRNA level. However, the use of experimental verification to identify disease-related miRNAs is expensive and time-consuming. Effective computational approaches used to predict miRNA-disease associations are highly specific. In this study, we develop the Network Consistency Projection for miRNA-Disease Associations (NCPMDA) method to reveal the potential associations between miRNAs and diseases. NCPMDA is a non-parametric universal network-based method that can simultaneously predict miRNA-disease associations in all diseases but does not require negative samples. NCPMDA can also confirm the presence of miRNAs in isolated diseases (diseases without any known miRNA association). Leave-one-out cross validation and case studies have shown that the predictive performance of NCPMDA is superior over that of previous method. Nature Publishing Group 2016-10-25 /pmc/articles/PMC5078764/ /pubmed/27779232 http://dx.doi.org/10.1038/srep36054 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Gu, Changlong Liao, Bo Li, Xiaoying Li, Keqin Network Consistency Projection for Human miRNA-Disease Associations Inference |
title | Network Consistency Projection for Human miRNA-Disease Associations Inference |
title_full | Network Consistency Projection for Human miRNA-Disease Associations Inference |
title_fullStr | Network Consistency Projection for Human miRNA-Disease Associations Inference |
title_full_unstemmed | Network Consistency Projection for Human miRNA-Disease Associations Inference |
title_short | Network Consistency Projection for Human miRNA-Disease Associations Inference |
title_sort | network consistency projection for human mirna-disease associations inference |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5078764/ https://www.ncbi.nlm.nih.gov/pubmed/27779232 http://dx.doi.org/10.1038/srep36054 |
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