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The availability of genome-wide biological network data opens up new possibilities to discover novel biomarkers and elucidate cancer-related complex mechanisms at network level. In this paper, we propose a novel module-based feature selection framework, which integrates biological network information and gene expression data to identify biomarkers, not as individual genes but as functional modules...
Due to the inherent measurement noise in microarray experiments, heterogeneity across samples, and limited sample size, it is often hard to find reliable gene markers for classification. For this reason, several studies proposed to analyze the expression data at the level of groups of functionally related genes such as pathways. One practical problem of these pathway-based approaches is the limited...
The relationship between alcohol consumption and onsets of breast cancer (BC) keeps obscure. A local gene network (LGN) was constructed using 24 breast cancer susceptibility genes that participate in known signal transduction pathways. It was found that the LGN was able to directly link several genes (ALDH, ADH1B and HDAC1) that have approved functions in alcohol metabolism. Further analysis indicated...
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