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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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| Publicado no: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5517040/ https://ncbi.nlm.nih.gov/pubmed/28678795 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005633 |
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