A novel signaling pathway impact analysis

MOTIVATION: Gene expression class comparison studies may identify hundreds or thousands of genes as differentially expressed (DE) between sample groups. Gaining biological insight from the result of such experiments can be approached, for instance, by identifying the signaling pathways impacted by the observed changes. Most of the existing pathway analysis methods focus on either the number of DE genes observed in a given pathway (enrichment analysis methods), or on the correlation between the pathway genes and the class of the samples (functional class scoring methods). Both approaches treat the pathways as simple sets of genes, disregarding the complex gene interactions that these pathways are built to…

• NS
  National Science Foundation

  Awards: 0438970, 0234806
• UD
  U.S. Department of Defense
• UD
  U.S. Department of Health and Human Services
• NI
  National Institutes of Health

  Award: CA022453
• NI
  National Institute of Child Health and Human Development
• DO
  Division of Biological Infrastructure
• EK
  Eunice Kennedy Shriver National Institute of Child Health and Human Development