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Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data
BACKGROUND: Using gene co-expression analysis, researchers were able to predict clusters of genes with consistent functions that are relevant to cancer development and prognosis. We applied a weighted gene co-expression network (WGCN) analysis algorithm on glioblastoma multiforme (GBM) data obtained...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305748/ https://www.ncbi.nlm.nih.gov/pubmed/22536863 http://dx.doi.org/10.1186/1471-2105-13-S2-S12 |