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How to infer gene networks from expression profiles

热1 yanruoke 添加于 2010-9-20 21:22 | 2872 次阅读 | 0 个评论

作者
Bansal M, Belcastro V, Ambesi-Impiombato A, di Bernardo D
摘要
Inferring, or ‘reverse-engineering’, gene networks can be defined as the process of identifying gene interactions from experimental data through computational analysis. Gene expression data from microarrays are typically used for this purpose. Here we compared different reverseengineering algorithms for which ready-to-use software was available and that had been tested on experimental data sets. We show that reverse-engineering algorithms are indeed able to correctly infer regulatory interactions among genes, at least when one performs perturbation experiments complying with the algorithm requirements. These algorithms are superior to classic clustering algorithms for the purpose of finding regulatory interactions among genes, and, although further improvements are needed, have reached a discreet performance for being practically useful
详细资料
- 文献种类:期刊
- 期刊名称: Molecular Systems Biology
- 期刊缩写: Mol Syst Biol
- 期卷页: 2007年第3卷
- ISBN: 1744-4292
标签

gene regulation network
相关链接 DOI URL
附件
How to infer gene networks from expression profiles