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BIOREL: The benchmark resource to estimate the relevance of the gene networks
Author(s) -
Antonov Alexey V.,
Mewes Hans W.
Publication year - 2006
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2005.12.101
Subject(s) - benchmark (surveying) , relevance (law) , computer science , resource (disambiguation) , biological network , throughput , data mining , gene regulatory network , computational biology , machine learning , artificial intelligence , biology , gene , genetics , geography , computer network , telecommunications , gene expression , geodesy , political science , law , wireless
The progress of high‐throughput methodologies in functional genomics has lead to the development of statistical procedures to infer gene networks from various types of high‐throughput data. However, due to the lack of common standards, the biological significance of the results of the different studies is hard to compare. To overcome this problem we propose a benchmark procedure and have developed a web resource (BIOREL), which is useful for estimating the biological relevance of any genetic network by integrating different sources of biological information. The associations of each gene from the network are classified as biologically relevant or not. The proportion of genes in the network classified as “relevant” is used as the overall network relevance score. Employing synthetic data we demonstrated that such a score ranks the networks fairly in respect to the relevance level. Using BIOREL as the benchmark resource we compared the quality of experimental and theoretically predicted protein interaction data.