共 14 条
BIOREL: The benchmark resource to estimate the relevance of the gene networks
被引:5
作者:

Antonov, AV
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机构: GSF, Natl Res Ctr Environm & Hlth, Inst Bioinformat, D-85764 Neuherberg, Germany

Mewes, HW
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机构: GSF, Natl Res Ctr Environm & Hlth, Inst Bioinformat, D-85764 Neuherberg, Germany
机构:
[1] GSF, Natl Res Ctr Environm & Hlth, Inst Bioinformat, D-85764 Neuherberg, Germany
[2] Tech Univ Munich, Wissens Zentrum Weihenstephan, D-85350 Freising Weihenstephan, Germany
关键词:
high-throughput data;
biological relevance;
gene network bias;
gene networks;
D O I:
10.1016/j.febslet.2005.12.101
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
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. (c) 2006 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
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页码:844 / 848
页数:5
相关论文
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