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Updated: Jul 9, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
New breast cancer genes-discovery at the intersection of complex data sets
1Duke Institute for Genome Sciences & Policy, Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27708, USA. nevin001@mc.duke.edu
Abstract:
The identification of genes that contribute to the oncogenic process, including those that determine risk of cancer onset, holds the key not only in understanding mechanisms of oncogenesis but also in the identification of new targets for therapeutic development. Traditional methods of genetics and molecular biology have been successful but are slow and laborious. The advent of genome technologies, leading to the generation of large data sets describing various properties of genes and proteins relevant to cancer phenotypes, has afforded a new opportunity for discovery. M. Vidal and colleagues have made use of this data, and in particular the integration of various forms of genome-scale data, to identify new genes involved in breast cancer.
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