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Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions
2016
Journal of Imaging
In cancer biology, genomics represents a big data problem that needs accurate visual data processing and analytics. The human genome is very complex with thousands of genes that contain the information about the individual patients and the biological mechanisms of their disease. Therefore, when building a framework for personalised treatment, the complexity of the genome must be captured in meaningful and actionable ways. This paper presents a novel visual analytics framework that enables
doi:10.3390/jimaging2040029
fatcat:npvraafuhbawpeuzmtfl6cfkta