Discovery of biological networks from diverse functional genomic data

被引：148

作者：

Myers, Chad L.

Robson, Drew

Wible, Adam

Hibbs, Matthew A.

Chiriac, Camelia

Theesfeld, Chandra L.

Dolinski, Kara

Troyanskaya, Olga G.

机构：

[1] Princeton Univ, Dept Comp Sci, Princeton, NJ 08544 USA

[2] Princeton Univ, Carl Icahn Lab, Lewis Sigler Inst Integrat Genom, Princeton, NJ 08544 USA

[3] Princeton Univ, Dept Math, Princeton, NJ 08540 USA

[4] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA

来源：

GENOME BIOLOGY | 2005年 / 6卷 / 13期

关键词：

D O I：

10.1186/gb-2005-6-13-r114

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

We have developed a general probabilistic system for query-based discovery of pathway-specific networks through integration of diverse genome-wide data. This framework was validated by accurately recovering known networks for 31 biological processes in Saccharomyces cerevisiae and experimentally verifying predictions for the process of chromosomal segregation. Our system, bioPIXIE, a public, comprehensive system for integration, analysis, and visualization of biological network predictions for S. cerevisiae, is freely accessible over the worldwide web.

引用

页数：16

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