Computational biomarker discovery

Fan Zhang, Xiaogang Wu, Jake Y. Chen

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

1 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 progress of disease. The importance of computational biomarker discovery for diagnostic classification and prognostic assessment in the context of microarray and proteomic data has been increasingly recognized. We present an overview of computational methods and their applications to biomarker discovery with particular focus on genomics and proteomics data. One case study is exemplarily presented, and relevant computational biomarker discovery terminology and techniques are explained.

Original languageEnglish
Title of host publicationApproaches in Integrative Bioinformatics
Subtitle of host publicationTowards the Virtual Cell
PublisherSpringer Berlin Heidelberg
Number of pages32
ISBN (Electronic)9783642412813
ISBN (Print)9783642412806
StatePublished - 1 Jan 2014


  • Biomarker discovery
  • Breast cancer
  • Data mining


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