Ensemble classification of cancer types and biomarker identification

Hussein Hijazi, Ming Wu, Aritro Nath, Christina Chan

    Research output: Research - peer-reviewArticle

    • 2 Citations

    Abstract

    Preclinical Research Cancer classification is an important step in biomarker identification. Developing machine learning methods that correctly predict cancer subtypes/types can help in identifying potential cancer biomarkers. In this commentary, we presented ensemble classification approach and compared its performance with single classification approaches. Additionally, the application of cancer classification in identifying biomarkers for drug design was discussed.

    LanguageEnglish (US)
    Pages414-419
    Number of pages6
    JournalDrug Development Research
    Volume73
    Issue number7
    DOIs
    StatePublished - Nov 2012

    Profile

    Tumor Biomarkers
    Neoplasms
    Biomarkers
    Drug Design
    Research
    Machine Learning

    Keywords

    • biomarker
    • cancer classification
    • drug design
    • ensemble
    • gene expression

    ASJC Scopus subject areas

    • Drug Discovery

    Cite this

    Ensemble classification of cancer types and biomarker identification. / Hijazi, Hussein; Wu, Ming; Nath, Aritro; Chan, Christina.

    In: Drug Development Research, Vol. 73, No. 7, 11.2012, p. 414-419.

    Research output: Research - peer-reviewArticle

    Hijazi, Hussein ; Wu, Ming ; Nath, Aritro ; Chan, Christina. / Ensemble classification of cancer types and biomarker identification. In: Drug Development Research. 2012 ; Vol. 73, No. 7. pp. 414-419
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