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Identifying Critical State of Complex Diseases by Single-Sample-Based Hidden Markov Model
The progression of complex diseases is generally divided as a normal state, a pre-disease state or tipping point, and a disease state. Developing individual-specific method that can identify the pre-disease state just before a catastrophic deterioration, is critical for patients with complex disease...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458292/ https://www.ncbi.nlm.nih.gov/pubmed/31019526 http://dx.doi.org/10.3389/fgene.2019.00285 |