Data Mining Methods in Omics-Based Biomarker Discovery

Fan Zhang, Jake Y. Chen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Scopus citations


The advent of Omics technologies as genomics and proteomics has brought the hope of discovering novel biomarkers that can be used to diagnose, predict, and monitor the progress of disease. The importance of data mining to identify biological markers for the diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of general data mining methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. Two case studies are exemplarily presented, and relevant data mining terminology and techniques are explained.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Number of pages16
StatePublished - 2011

Publication series

NameMethods in Molecular Biology
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029


  • Biomarker discovery
  • Data mining
  • Genomics
  • Mass spectrometry
  • Proteomics


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