Massive-scale gene co-expression network construction and robustness testing using random matrix theory.

ABSTRACT: The study of gene relationships and their effect on biological function and phenotype is a focal point in systems biology. Gene co-expression networks built using microarray expression profiles are one technique for discovering and interpreting gene relationships. A knowledge-independent thresholding technique, such as Random Matrix Theory (RMT), is useful for identifying meaningful relationships. Highly connected genes in the thresholded network are then grouped into modules that provide insight into their collective functionality. While it has been shown that co-expression networks are biologically relevant, it has not been determined to what extent any given network is functionally robust given perturbations in the input sample set. For such a test, hundreds of networks are needed and h

SUBMITTER: Gibson SM 

PROVIDER: S-EPMC3567026 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature