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Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network
The overall goal is to establish a reliable human protein-protein interaction network and develop computational tools to characterize a protein-protein interaction (PPI) network and the role of individual proteins in the context of the network topology and their expression status. A novel and unique...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015007/ https://www.ncbi.nlm.nih.gov/pubmed/27648447 http://dx.doi.org/10.1155/2016/5313050 |
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author | Hu, Yang Zhang, Ying Ren, Jun Wang, Yadong Wang, Zhenzhen Zhang, Jun |
author_facet | Hu, Yang Zhang, Ying Ren, Jun Wang, Yadong Wang, Zhenzhen Zhang, Jun |
author_sort | Hu, Yang |
collection | PubMed |
description | The overall goal is to establish a reliable human protein-protein interaction network and develop computational tools to characterize a protein-protein interaction (PPI) network and the role of individual proteins in the context of the network topology and their expression status. A novel and unique feature of our approach is that we assigned confidence measure to each derived interacting pair and account for the confidence in our network analysis. We integrated experimental data to infer human PPI network. Our model treated the true interacting status (yes versus no) for any given pair of human proteins as a latent variable whose value was not observed. The experimental data were the manifestation of interacting status, which provided evidence as to the likelihood of the interaction. The confidence of interactions would depend on the strength and consistency of the evidence. |
format | Online Article Text |
id | pubmed-5015007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50150072016-09-19 Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network Hu, Yang Zhang, Ying Ren, Jun Wang, Yadong Wang, Zhenzhen Zhang, Jun Biomed Res Int Research Article The overall goal is to establish a reliable human protein-protein interaction network and develop computational tools to characterize a protein-protein interaction (PPI) network and the role of individual proteins in the context of the network topology and their expression status. A novel and unique feature of our approach is that we assigned confidence measure to each derived interacting pair and account for the confidence in our network analysis. We integrated experimental data to infer human PPI network. Our model treated the true interacting status (yes versus no) for any given pair of human proteins as a latent variable whose value was not observed. The experimental data were the manifestation of interacting status, which provided evidence as to the likelihood of the interaction. The confidence of interactions would depend on the strength and consistency of the evidence. Hindawi Publishing Corporation 2016 2016-08-25 /pmc/articles/PMC5015007/ /pubmed/27648447 http://dx.doi.org/10.1155/2016/5313050 Text en Copyright © 2016 Yang Hu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hu, Yang Zhang, Ying Ren, Jun Wang, Yadong Wang, Zhenzhen Zhang, Jun Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network |
title | Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network |
title_full | Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network |
title_fullStr | Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network |
title_full_unstemmed | Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network |
title_short | Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network |
title_sort | statistical approaches for the construction and interpretation of human protein-protein interaction network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5015007/ https://www.ncbi.nlm.nih.gov/pubmed/27648447 http://dx.doi.org/10.1155/2016/5313050 |
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