Network modeling of the transcriptional effects of copy number aberrations in glioblastoma

DNA copy number aberrations (CNAs) are a hallmark of cancer genomes. However, little is known about how such changes affect global gene expression. We develop a modeling framework, EPoC (Endogenous Perturbation analysis of Cancer), to (1) detect disease-driving CNAs and their effect on target mRNA e...

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Autors principals: Jörnsten, Rebecka, Abenius, Tobias, Kling, Teresia, Schmidt, Linnéa, Johansson, Erik, Nordling, Torbjörn E M, Nordlander, Bodil, Sander, Chris, Gennemark, Peter, Funa, Keiko, Nilsson, Björn, Lindahl, Linda, Nelander, Sven
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group 2011
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3101951/
https://ncbi.nlm.nih.gov/pubmed/21525872
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/msb.2011.17
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