Relevance of different prior knowledge sources for inferring gene interaction networks.

ABSTRACT: When inferring networks from high-throughput genomic data, one of the main challenges is the subsequent validation of these networks. In the best case scenario, the true network is partially known from previous research results published in structured databases or research articles. Traditionally, inferred networks are validated against these known interactions. Whenever the recovery rate is gauged to be high enough, subsequent high scoring but unknown inferred interactions are deemed good candidates for further experimental validation. Therefore such validation framework strongly depends on the quantity and quality of published interactions and presents serious pitfalls: (1) availability of these known interactions for the studied problem might be sparse; (2) quantitatively comparing diff

SUBMITTER: Olsen C 

PROVIDER: S-EPMC4067568 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature