换一批摘要With the popularization of microarray experi-ments in biomedical laboratories, how to make context-specific knowledge discovery from expression data becomes a hot topic. While the static "reference networks"for key model organisms are nearly at hand, the endeavors to recover context-specific network modules are still at the beginning. Currently, this is achieved through filtering existing edges of the ensemble reference network or constructing gene networks ab initio. In this paper, we briefly review recent progress in the field and point out some research directions awaiting improved work, includ-ing expression-data-guided revision of reference networks.
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分类号
Q1（普通生物学）
栏目名称
DOI
10.1007/s11515-009-0036-3
发布时间
2010-03-30（万方平台首次上网日期，不代表论文的发表时间）
基金项目
This work was supported by a grant from Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences（(2008KIP207)）
国家自然科学基金（(30770497)）
the National Key Technologies R&D Program（(2007AA02Z331)）
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