000002761 001__ 2761
000002761 005__ 20250424232753.0
000002761 0247_ $$2DOI$$a10.6083/M41V5CQM
000002761 037__ $$aETD
000002761 245__ $$aCurrent trends and terminology in systems biology and pathway research: a conceptual roadmap
000002761 260__ $$bOregon Health and Science University
000002761 269__ $$a2010-05-01
000002761 336__ $$aCapstone
000002761 502__ $$bM.B.I.
000002761 502__ $$gBiomedical Informatics
000002761 520__ $$aPathway research defines or refines our understanding of interactions between molecules within and between cells, primarily to identify molecular targets for disease therapies. Pathways interact to form networks. Pathways and networks should be understood as a concrete series of chemical reactions, but as abstract probabilistic models of molecular behavior. The past decade has witnessed exceptional growth in research involving the study of biological pathways and corresponding growth in bioinformatics tools to support it. Evolving concepts in the field are not always understood consistently, increasing the risk of misinterpreted or lost research. It is therefore imperative to bioinformaticians that possible areas of confusion be identified and clarified.
000002761 542__ $$fIn copyright - single owner
000002761 650__ $$aModels, Statistical$$028242
000002761 650__ $$aComputational Biology$$031511
000002761 691__ $$aSchool of Medicine$$041369
000002761 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000002761 7001_ $$aAmes, Michael$$uOregon Health and Science University$$041354
000002761 7201_ $$aMcWeeney, Shannon$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000002761 8564_ $$9db87ab87-b648-4400-8c12-ebcf156a2803$$s3401031$$uhttps://digitalcollections.ohsu.edu/record/2761/files/3527_etd.pdf$$ePublic$$24471b1635d1468c81411a0421299761f$$32
000002761 905__ $$a/rest/prod/m3/26/m1/95/m326m195q
000002761 909CO $$ooai:digitalcollections.ohsu.edu:2761$$pstudent-work
000002761 980__ $$aTheses and Dissertations