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Fig. 5 | BMC Bioinformatics

Fig. 5

From: A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data

Fig. 5

The overall framework of the proposed approach: The gene relationship data is obtained from GeneMANIA, the expression of each gene in positive and negative samples is embedded as node information, and the gene relationship data and Pearson correlation coefficient are embedded as edges after passing through a layer of softmax function. The graph neural networks’ information dissemination and aggregation process is carried out. The dependency relationship is predicted by the link prediction method, and spectral clustering is carried out to delete redundant features. The feature of each subgraph is evaluated, eight kinds of evaluators are used, the ranking information is aggregated by the robust ranking method, and the feature subset is finally output

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