Ontology highlight
ABSTRACT: Motivation
Multicellular systems, such as tissues, are composed of different cell types that form a heterogeneous community. Behavior of these systems is determined by complex regulatory networks within (intracellular networks) and between (intercellular networks) cells. Increasingly more studies are applying genome-wide experimental approaches to delineate the contributions of individual cell types (e.g. stromal, epithelial, vascular cells) to collective behavior of heterogeneous cell communities (e.g. tumors). Although many computational methods have been developed for analyses of intracellular networks based on genome-scale data, these efforts have not been extended toward analyzing genomic data from heterogeneous cell communities.Results
Here, we propose a network-based
SUBMITTER: Komurov K
PROVIDER: S-EPMC3338330 | biostudies-literature | 2012 Mar
REPOSITORIES: biostudies-literature