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...

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Detalles Bibliográficos
Autores principales: Menche, Jörg, Guney, Emre, Sharma, Amitabh, Branigan, Patrick J., Loza, Matthew J., Baribaud, Frédéric, Dobrin, Radu, Barabási, Albert-László
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
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

Internet

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

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