Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers.
<italic>Aims/Introduction</italic>. Evidences have shown that the deteriorated procession of disease is not a smooth change with time and conditions, in which a critical transition point denoted as predisease state drives the state from normal to disease. Considering individual differences, this pap...
| Publicado en: | BioMed Research International Vol. 2018; pp. 1 - 8 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
1/31/2018
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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=127695521&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127695521 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 1/31/2018 vid: 2018 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 127695521 127695521 127695521 10.1155/2018/6807059 127695521 ppf: 1 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers. aug: au: Zhu, Shanshan Gao, Jie Ding, Tao Xu, Junhua Wu, Min affil: School of Science, Jiangnan University, Wuxi 214122, China sug: subj: Influenza Symptoms Biological Markers Human Influenza Physiopathology Influenza Risk Factors Genes Data Analysis Software Gene Expression T-Tests ab: <italic>Aims/Introduction</italic>. Evidences have shown that the deteriorated procession of disease is not a smooth change with time and conditions, in which a critical transition point denoted as predisease state drives the state from normal to disease. Considering individual differences, this paper provides a sample-specific method that constructs an index with individual-specific dynamical network biomarkers (DNB) which are defined as early warning index (EWI) for detecting predisease state of individual sample. Based on microarray data of influenza A disease, 144 genes are selected as DNB and the 7th time period is defined as predisease state. In addition, according to functional analysis of the discovered DNB, it is relevant with experience data, which can illustrate the effectiveness of our sample-specific method. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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