Inference of disease-related molecular logic from systems-based microarray analysis.

ABSTRACT: Computational analysis of gene expression data from microarrays has been useful for medical diagnosis and prognosis. The ability to analyze such data at the level of biological modules, rather than individual genes, has been recognized as important for improving our understanding of disease-related pathways. It has proved difficult, however, to infer pathways from microarray data by deriving modules of multiple synergistically interrelated genes, rather than individual genes. Here we propose a systems-based approach called Entropy Minimization and Boolean Parsimony (EMBP) that identifies, directly from gene expression data, modules of genes that are jointly associated with disease. Furthermore, the technique provides insight into the underlying biomolecular logic by inferring a logic funct

SUBMITTER: Varadan V 

PROVIDER: S-EPMC1479089 | biostudies-literature | 2006 Jun

REPOSITORIES: biostudies-literature