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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...

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Detalles Bibliográficos
Autores principales: Hu, Yang, Zhang, Ying, Ren, Jun, Wang, Yadong, Wang, Zhenzhen, Zhang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
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.
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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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