title: Ensemble Classification of Cancer Types and Biomarker Identification.
abstract: 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.
authors.affiliation: Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
authors.forename: Hussein
authors.initials: H
authors.lastname: Hijazi
authors.affiliation: Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
authors.forename: Ming
authors.initials: M
authors.lastname: Wu
authors.affiliation: Genetics Program, Michigan State University, East Lansing, MI 48824, USA.
authors.forename: Aritro
authors.initials: A
authors.lastname: Nath
authors.affiliation: Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA ; Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA ; Genetics Program, Michigan State University, East Lansing, MI 48824, USA ; Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, MI 48824, USA.
authors.forename: Christina
authors.initials: C
authors.lastname: Chan
keywords: biomarker; cancer classification; drug design; ensemble; gene expression