Identification of cancer prognosis-associated functional modules using differential co-expression networks

The rapid accumulation of cancer-related data owing to high-throughput technologies has provided unprecedented choices to understand the progression of cancer and discover functional networks in multiple cancers. Establishment of co-expression networks will help us to discover the systemic propertie...

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Detalles Bibliográficos
Autores principales: Yu, Wenshuai, Zhao, Shengjie, Wang, Yongcui, Zhao, Brian Nlong, Zhao, Weiling, Zhou, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762563/
https://www.ncbi.nlm.nih.gov/pubmed/29348878
http://dx.doi.org/10.18632/oncotarget.22878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762563/
https://www.ncbi.nlm.nih.gov/pubmed/29348878
http://dx.doi.org/10.18632/oncotarget.22878

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