000002967 001__ 2967
000002967 005__ 20250424232806.0
000002967 0247_ $$2DOI$$a10.6083/M4Z60N1W
000002967 037__ $$aETD
000002967 245__ $$aComparative analysis of semantic similarity and gene orthology tools for identification of gene candidates for human diseases
000002967 260__ $$bOregon Health and Science University
000002967 269__ $$a2015
000002967 336__ $$aThesis
000002967 502__ $$bM.B.I.
000002967 520__ $$aIn the study of rare and undiagnosed diseases it is of critical importance to identify potential gene  candidates for those disease in order to establish an appropriate treatment protocol. However, there may  be insufficient resources available to investigate rare and undiagnosed diseases, so it may be necessary to  identify potential gene candidates from patient clinical observations to narrow the focus of the  investigation. Two approaches for identifying gene candidates are investigated and compared: the  OWLSim package for comparing the semantic similarity of phenotypes and the Phenolog approach for identifying orthologous phenotypes by searching for orthologous gene enrichment between phenotypes
000002967 540__ $$fCC BY
000002967 542__ $$fIn copyright - single owner
000002967 650__ $$aComputational Biology$$031511
000002967 650__ $$aDisease$$017931
000002967 650__ $$aPhenotype$$023948
000002967 650__ $$aGenes$$019447
000002967 691__ $$aSchool of Medicine$$041369
000002967 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000002967 7001_ $$aLaraway, Bryan$$uOregon Health and Science University$$041354
000002967 7201_ $$aSonmez, Kemal$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000002967 8564_ $$96696f7db-b1fb-4bb7-bbf5-1585c38c8ca2$$s15291242$$uhttps://digitalcollections.ohsu.edu/record/2967/files/3741_etd.pdf$$ePublic$$2613571b8836969eca79e70742996ec54$$31
000002967 905__ $$a/rest/prod/31/97/xm/36/3197xm36t
000002967 909CO $$ooai:digitalcollections.ohsu.edu:2967$$pstudent-work
000002967 980__ $$aBiomedical Informatics