Cargando…
Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers
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 sam...
Autores principales: | Zhu, Shanshan, Gao, Jie, Ding, Tao, Xu, Junhua, Wu, Min |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831949/ https://www.ncbi.nlm.nih.gov/pubmed/29662893 http://dx.doi.org/10.1155/2018/6807059 |
Ejemplares similares
-
Detecting early-warning signals for influenza A pandemic based on protein dynamical network biomarkers
por: Gao, Jie, et al.
Publicado: (2017) -
Detecting early‐warning signals of influenza outbreak based on dynamic network marker
por: Chen, Pei, et al.
Publicado: (2018) -
Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers
por: Chen, Luonan, et al.
Publicado: (2012) -
Forecasting influenza A pandemic outbreak using protein dynamical network biomarkers
por: Gao, Jie, et al.
Publicado: (2017) -
Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers
por: Liu, Xiaoping, et al.
Publicado: (2013)