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• W2414440007 abstract "Developing improved approaches for diagnosis, treatment, and prevention of diseases is a major goal of biomedical research. Therefore, the discovery of biomarker signatures from high-throughput omics data is an active research topic in the field of bioinformatics and systems medicine. A major issue is the low reproducibility and the limited biological interpretability of candidate biomarker signatures identified from high-throughput data. This impedes the use of discovered biomarker signatures into clinical applications. Currently, much focus is placed on developing strategies to improve reproducibility and interpretability. Researchers have fruitfully started to incorporate prior knowledge derived from pathways and molecular networks into the process of biomarker identification. In this chapter, after giving a general introduction to the problem of disease classification and biomarker discovery, we will review two types of network-assisted approaches: (1) approaches inferring activity scores for specific pathways which are subsequently used for classification and (2) approaches identifying subnetworks or modules of molecular networks by differential network analysis which can serve as biomarker signatures." @default.
• W2414440007 created "2016-06-24" @default.
• W2414440007 creator A5022724143 @default.
• W2414440007 creator A5056067344 @default.
• W2414440007 creator A5062476480 @default.
• W2414440007 date "2016-01-01" @default.
• W2414440007 modified "2023-10-03" @default.
• W2414440007 title "Network-Assisted Disease Classification and Biomarker Discovery" @default.
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