Abstract
Owing to the growing knowledge about the cellular molecular network and its alterations in diseases, most of the diseases become considered as “systems distortion of the cellular molecular network”. This view of diseases, which we call “systems pathology”, has brought about a new usage of the disease Omics, that is, to identify the altered molecular network underlying the disease. In this chapter, we discuss the technologies and clinical applications for Omics-based identification of pathophysiological process. In doing so, we classify the methods into two classes: one is a “data-inductive approach” which infers gene regulatory and transcriptional networks by gene expression data from DNA microarrays, and the other is a “knowledge-referenced approach” which combines the differentially expressed genes from gene expression profiles with existing protein interaction networks or literature-curated pathways. Several typical methods such as ARACNe and eQTL are described with their recent clinical applications.
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Tanaka, H., Ogishima, S. (2011). Omics-Based Identification of Pathophysiological Processes. In: Mayer, B. (eds) Bioinformatics for Omics Data. Methods in Molecular Biology, vol 719. Humana Press. https://doi.org/10.1007/978-1-61779-027-0_23
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DOI: https://doi.org/10.1007/978-1-61779-027-0_23
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