Journal of Data Mining in Genomics & Proteomics

Journal of Data Mining in Genomics & Proteomics
Open Access

ISSN: 2153-0602

Maria Mercedes Torres

  • Review Article
    Mining Datasets for Molecular Subtyping in Cancer
    Author(s): Sally Yepes and Maria Mercedes TorresSally Yepes and Maria Mercedes Torres

    Given the heterogeneity in the clinical behavior of cancer patients with identical histopathological diagnosis, the search for unrecognized molecular subtypes, subtype-specific markers and the evaluation of their clinical-biological relevance are a necessity. This task is benefiting today from the high-throughput genomic technologies and free access to the datasets generated by the international genomic projects and the repositories of information. Machine learning strategies have proven to be useful in the identification of hidden trends in large datasets, contributing to the understanding of the molecular mechanisms and subtyping of cancer. However, the translation of new molecular subclasses and biomarkers into clinical settings requires their analytic validation and clinical trials to determine their clinical utility. Here, we provide an overview of the workflow to identify and co.. Read More»
    DOI: 10.4172/2153-0602.1000185

    Abstract PDF

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