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Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers
Joint Authors
Zhu, Shanshan
Gao, Jie
Ding, Tao
Xu, Junhua
Wu, Min
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhu, Shanshan& Gao, Jie& Ding, Tao& Xu, Junhua& Wu, Min. 2018. Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers. BioMed Research International،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1128098
Modern Language Association (MLA)
Zhu, Shanshan…[et al.]. Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers. BioMed Research International No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1128098
American Medical Association (AMA)
Zhu, Shanshan& Gao, Jie& Ding, Tao& Xu, Junhua& Wu, Min. Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1128098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1128098