Boolean implication networks derived from large scale, whole genome microarray datasets

Genome Biol. 2008 Oct 30;9(10):R157. doi: 10.1186/gb-2008-9-10-r157.

Abstract

We describe a method for extracting Boolean implications (if-then relationships) in very large amounts of gene expression microarray data. A meta-analysis of data from thousands of microarrays for humans, mice, and fruit flies finds millions of implication relationships between genes that would be missed by other methods. These relationships capture gender differences, tissue differences, development, and differentiation. New relationships are discovered that are preserved across all three species.

Publication types

  • Meta-Analysis
  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms*
  • Animals
  • Computational Biology / methods*
  • Databases, Genetic
  • Gene Expression Profiling / methods*
  • Genome*
  • Humans
  • Mice
  • Oligonucleotide Array Sequence Analysis / methods*
  • Pattern Recognition, Automated