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Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers

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  • Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers

    Biomed Res Int. 2018 Jan 31;2018:6807059. doi: 10.1155/2018/6807059. eCollection 2018.
    Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers.

    Zhu S1, Gao J1, Ding T1, Xu J1, Wu M1.
    Author information

    Abstract

    Aims/Introduction. 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.


    PMID: 29662893 PMCID: PMC5831949 DOI: 10.1155/2018/6807059
    Free PMC Article
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