Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network
Joint Authors
Hu, Yang
Ren, Jun
Zhang, Ying
Wang, Zhenzhen
Zhang, Jun
Wang, Yadong
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-25
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hu, Yang& Zhang, Ying& Ren, Jun& Wang, Yadong& Wang, Zhenzhen& Zhang, Jun. 2016. Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network. BioMed Research International،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1098084
Modern Language Association (MLA)
Hu, Yang…[et al.]. Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network. BioMed Research International No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1098084
American Medical Association (AMA)
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. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1098084
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1098084