Towards knowledge-based gene expression data mining

Riccardo Bellazzi, Blaž Zupan

Research output: Contribution to journalArticle

Abstract

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
Volume40
Issue number6
DOIs
Publication statusPublished - Dec 2007

Keywords

  • 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

Fingerprint Dive into the research topics of 'Towards knowledge-based gene expression data mining'. Together they form a unique fingerprint.

  • Cite this