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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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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2017
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| 主題: | |
| オンライン･アクセス: | 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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