Towards knowledge-based gene expression data mining

Riccardo Bellazzi, Blaž Zupan

Research output: Contribution to journalArticlepeer-review


The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at complementing microarray analysis with data and knowledge from diverse available sources. In this review, we report on the plethora of gene expression data mining techniques and focus on their evolution toward knowledge-based data analysis approaches. In particular, we discuss recent developments in gene expression-based analysis methods used in association and classification studies, phenotyping and reverse engineering of gene networks.

Original languageEnglish
Pages (from-to)787-802
Number of pages16
JournalJournal of Biomedical Informatics
Issue number6
Publication statusPublished - Dec 2007


  • Classification
  • Data mining
  • Gene association
  • Gene expression data analysis
  • Gene networks
  • Knowledge-based data mining

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics
  • Computer Science (miscellaneous)
  • Catalysis


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