EnRICH: Extraction and Ranking using Integration and Criteria Heuristics.

ABSTRACT:

Background

High throughput screening technologies enable biologists to generate candidate genes at a rate that, due to time and cost constraints, cannot be studied by experimental approaches in the laboratory. Thus, it has become increasingly important to prioritize candidate genes for experiments. To accomplish this, researchers need to apply selection requirements based on their knowledge, which necessitates qualitative integration of heterogeneous data sources and filtration using multiple criteria. A similar approach can also be applied to putative candidate gene relationships. While automation can assist in this routine and imperative procedure, flexibility of data sources and criteria must not be sacrificed. A tool that can optimize the trade-off between automation and flexib

SUBMITTER: Zhang X 

PROVIDER: S-EPMC3564850 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature