A network-based method to assess the statistical significance of mild co-regulation effects.

ABSTRACT: Recent development of high-throughput, multiplexing technology has initiated projects that systematically investigate interactions between two types of components in biological networks, for instance transcription factors and promoter sequences, or microRNAs (miRNAs) and mRNAs. In terms of network biology, such screening approaches primarily attempt to elucidate relations between biological components of two distinct types, which can be represented as edges between nodes in a bipartite graph. However, it is often desirable not only to determine regulatory relationships between nodes of different types, but also to understand the connection patterns of nodes of the same type. Especially interesting is the co-occurrence of two nodes of the same type, i.e., the number of their common neighbou

SUBMITTER: Horvat EA 

PROVIDER: S-EPMC3767771 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature