Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks

被引：0

作者：

Jun Zhu

Bin Zhang

Erin N Smith

Becky Drees

Rachel B Brem

Leonid Kruglyak

Roger E Bumgarner

Eric E Schadt

机构：

[1] Rosetta Inpharmatics,Lewis

[2] LLC,Sigler Institute for Integrative Genomics and Department of Ecology and Evolutionary Biology

[3] Princeton University,Department of Molecular and Cellular Biology

[4] Carl Icahn Laboratory,Department of Microbiology

[5] Box 357275,Department of Molecular and Cell Biology

[6] University of Washington,undefined

[7] Box 358070,undefined

[8] University of Washington,undefined

[9] 304A Stanley Hall #3220,undefined

[10] University of California,undefined

[11] Berkeley,undefined

来源：

Nature Genetics | 2008年 / 40卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Eric Schadt and colleagues report the construction of yeast regulatory networks from multiple sources of large-scale functional genomic data, and show that a network constructed from the integration of genotypic, transcription factor binding site, and protein–protein interaction data is the most predictive.

引用

页码：854 / 861

页数：7

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