000003035 001__ 3035
000003035 005__ 20250424232811.0
000003035 0247_ $$2DOI$$a10.6083/M4CC0ZRG
000003035 037__ $$aETD
000003035 245__ $$aImplementation of the HotNet2 network diffusion-based analysis method in Java
000003035 260__ $$bOregon Health and Science University
000003035 269__ $$a2016-12-01
000003035 336__ $$aCapstone
000003035 502__ $$bM.B.I.
000003035 502__ $$gBiomedical Informatics
000003035 520__ $$aNetwork-based approaches are widely used for analyzing large-scale genomic data and searching  for disease driver genes.  Diffusion-based approaches are one of the most popular approaches for  detecting disease candidate genes by combining biological information with topological network  information.  A particular diffusion-based algorithm used in The Cancer Genome Atlas data  analysis called HotNet2 has been able to detect significant subnetworks of genes related to  various cancer types.  The purpose of this capstone project is to port HotNet2 from Python to  Java.  This will allow future integration into Java-based standalone projects that can provide  users a more interactive user interface for the whole HotNet2 workflow.
000003035 542__ $$fIn copyright - single owner
000003035 650__ $$aNeoplasms$$022758
000003035 650__ $$aGenomics$$033016
000003035 650__ $$aGenome$$029315
000003035 691__ $$aSchool of Medicine$$041369
000003035 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000003035 7001_ $$aYan, Melissa$$uOregon Health and Science University$$041354
000003035 7201_ $$aWu, Guanming$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000003035 8564_ $$9d6a004be-7494-4f0d-88ff-65e1343d5af4$$s3932117$$uhttps://digitalcollections.ohsu.edu/record/3035/files/3860_etd.pdf$$ePublic$$23d7cac4b3d6a82f2f941cbcce1ecaa4a$$31
000003035 905__ $$a/rest/prod/rv/04/2t/28/rv042t281
000003035 909CO $$ooai:digitalcollections.ohsu.edu:3035$$pstudent-work
000003035 980__ $$aBiomedical Informatics