Quantifying critical states of complex diseases using single-sample dynamic network biomarkers

Dynamic network biomarkers (DNB) can identify the critical state or tipping point of a disease, thereby predicting rather than diagnosing the disease. However, it is difficult to apply the DNB theory to clinical practice because evaluating DNB at the critical state required the data of multiple samp...

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Detalles Bibliográficos
Autores principales: Liu, Xiaoping, Chang, Xiao, Liu, Rui, Yu, Xiangtian, Chen, Luonan, Aihara, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517040/
https://www.ncbi.nlm.nih.gov/pubmed/28678795
http://dx.doi.org/10.1371/journal.pcbi.1005633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5517040/
https://www.ncbi.nlm.nih.gov/pubmed/28678795
http://dx.doi.org/10.1371/journal.pcbi.1005633

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