Ensemble classification of cancer types and biomarker identification

Hussein Hijazi, Ming Wu, Aritro Nath, Christina Chan

Research output: Contribution to journalReview articlepeer-review

6 Scopus 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.

Original languageEnglish (US)
Pages (from-to)414-419
Number of pages6
JournalDrug Development Research
Volume73
Issue number7
DOIs
StatePublished - Nov 2012

Keywords

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

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