Data integration and knowledge discovery in life sciences

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TypeArticle
Proceedings titleIEA/AIE'10 Proceedings of the 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
ConferenceThe Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2010), Córdoba, Spain
Volume3
Pages102111; # of pages: 10
SubjectData integration; Knowledge Discovery; Integrated Omics
AbstractRecent advances in various forms of omics technologies have generated huge amount of data. To fully exploit these data sets that in many cases are publicly available, robust computational methodologies need to be developed to deal with the storage, integration, analysis, visualization, and dissemination of these data. In this paper, we describe some of our research activities in data integration leading to novel knowledge discovery in life sciences. Our multi-strategy approach with integration of prior knowledge facilitates a novel means to identify informative genes that could have been missed by the commonly used methods. Our transcriptomics-proteomics integrative framework serves as a means to enhance the confidence of and also to complement transcriptomics discovery. Our new research direction in integrative data analysis of omics data is targeted to identify molecular associations to disease and therapeutic response signatures. The ultimate goal of this research is to facilitate the development of clinical test-kits for early detection, accurate diagnosis/prognosis of disease, and better personalized therapeutic management.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number15261144
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Record identifier4f1db006-8c54-4f32-84a3-a0c049c4f617
Record created2010-06-10
Record modified2016-05-09
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