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Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data.

Yang Xiang | Cun-Quan Zhang | Kun Huang
BMC bioinformatics | 2012

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 from the TCGA project and predicted a set of gene co-expression networks which are related to GBM prognosis.

Pubmed ID: 22536863

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: R01CA141090

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ToppGene Suite (tool)

RRID:SCR_005726

ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis.

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