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Unravelling personalized dysfunctional gene network of complex diseases based on differential network model
In the conventional analysis of complex diseases, the control and case samples are assumed to be of great purity. However, due to the heterogeneity of disease samples, many disease genes are even not always consistently up-/down-regulated, leading to be under-estimated. This problem will seriously i...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467679/ https://www.ncbi.nlm.nih.gov/pubmed/26070628 http://dx.doi.org/10.1186/s12967-015-0546-5 |