Ensemble classification of cancer types and biomarker identification

Hussein Hijazi, Ming Wu, Aritro Nath, Christina Chan

Research output: Contribution to journalArticle

  • 3 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
Biomarkers
Neoplasms
Drug Design
Research

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: Contribution to journalArticle

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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