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...
| Publicado en: | BioMed Research International Vol. 2016; pp. 1 - 8 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
8/25/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=117669192&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 117669192 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 8/25/2016 vid: 2016 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 117669192 117669192 117669192 10.1155/2016/5313050 117669192 ppf: 1 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network. aug: au: Hu, Yang Zhang, Ying Ren, Jun Wang, Yadong Wang, Zhenzhen Zhang, Jun affil: School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China sug: subj: Proteins Physiology Proteins Metabolism Biological Phenomena Models, Statistical Human Gene Expression ab: 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. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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