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A Cloud-Based Data Network Approach for Translational Cancer Research
[chapter]
2014
Advances in Experimental Medicine and Biology
We develop a new model and associated technology for constructing and managing self-organizing data to support translational cancer research studies. We employ a semantic content network approach to address the challenges of managing cancer research data. Such data is heterogeneous, large, decentralized, growing and continually being updated. Moreover, the data originates from different information sources that may be partially overlapping, creating redundancies as well as contradictions and
doi:10.1007/978-3-319-09012-2_16
pmid:25417028
fatcat:c4otfy4q3rgs7hi4kcuwgbs5du