Affordable Access

deepdyve-link
Publisher Website

A cloud-based data network approach for translational cancer research.

Authors
  • Xing, Wei
  • Tsoumakos, Dimitrios
  • Ghanem, Moustafa
Type
Published Article
Journal
Advances in experimental medicine and biology
Publication Date
Jan 01, 2015
Volume
820
Pages
229–238
Identifiers
DOI: 10.1007/978-3-319-09012-2_16
PMID: 25417028
Source
Medline
License
Unknown

Abstract

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 inconsistencies. Building on the advantages of elasticity of cloud computing, we deploy the cancer data networks on top of the CELAR Cloud platform to enable more effective processing and analysis of Big cancer data.

Report this publication

Statistics

Seen <100 times