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Integrating personalized gene expression profiles into predictive disease-associated gene pools
Gene expression data are routinely used to identify genes that on average exhibit different expression levels between a case and a control group. Yet, very few of such differentially expressed genes are detectably perturbed in individual patients. Here, we develop a framework to construct personaliz...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5445628/ https://www.ncbi.nlm.nih.gov/pubmed/28649437 http://dx.doi.org/10.1038/s41540-017-0009-0 |