Identifying tightly regulated and variably expressed networks by Differential Rank Conservation (DIRAC).

ABSTRACT: A powerful way to separate signal from noise in biology is to convert the molecular data from individual genes or proteins into an analysis of comparative biological network behaviors. One of the limitations of previous network analyses is that they do not take into account the combinatorial nature of gene interactions within the network. We report here a new technique, Differential Rank Conservation (DIRAC), which permits one to assess these combinatorial interactions to quantify various biological pathways or networks in a comparative sense, and to determine how they change in different individuals experiencing the same disease process. This approach is based on the relative expression values of participating genes-i.e., the ordering of expression within network profiles. DIRAC provides

SUBMITTER: Eddy JA 

PROVIDER: S-EPMC2877722 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature