Pathway Miner: Extracting gene association networks from molecular pathways for predicting the biological significance of gene expression microarray data

Ritu Pandey, Raghavendra K. Guru, David W. Mount

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

Abstract

Summary: We have developed a web-based system (Pathway Miner) for visualizing gene expression profiles in the context of biological pathways. Pathway Miner catalogs genes based on their role in metabolic, cellular and regulatory pathways. A Fisher exact test is provided as an option to rank pathways. The genes are mapped onto pathways and gene product association networks are extracted for genes that co-occur in pathways. The networks can be filtered for analysis based on user-selected options.

Original languageEnglish (US)
Pages (from-to)2156-2158
Number of pages3
JournalBioinformatics
Volume20
Issue number13
DOIs
StatePublished - Sep 1 2004
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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