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Pathway Analysis : An Introduction

Pathway Analysis :An IntroductionDataExperimentsStructure in Data through statisticsPathway AnalysisLiterature and other KBKnowledgeStructure in Knowledge through GO and other OntologiesGain insight into DataWhy Pathway Analysis ? Logical next step in any high-throughput experiment Treat samples Collect mRNA Label Hybridize Scan Normalize Select differentially regulated genes .. Understand the biological phenomena involved High-throughput experiments per se do not produce biological findings Genes do not work alone, but in an intricate network of interactions Helps interpret the data in the context of biological processes, pathways and networks Global perspective on the data and problem at handMicroarray ExperimentTrends in BioinformaticsSequence ComparisonTodayFunctional ComparisonTomorrowP

is divided into inflammation related pathways like ^Jak-STAT signaling and ^cytokine-cytokine receptor interaction pathways. While some use hybrid models like GO hybrid (IPA) and others use GO (Metacore) Caveats: Why. Biological Pathway Building Process Viswanathan G, …

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Pathway Analysis - MD Anderson Cancer Center

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Pathway Analysis • 1st Stage Analysis –Data Driven Objective (DDO) –Used mainly in determining relationship information of genes or proteins identified in a specific experiment (e.g. microarray study) –Focused topic of interest • 2nd Stage Analysis –Knowledge Driven Objective (KDO)

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