A Genome-Wide Gene Function Prediction Resource for Drosophila melanogaster

被引：12

作者：

Yan, Han ^{[1
,2
]}

Venkatesan, Kavitha ^{[1
,2
]}

Beaver, John E. ^{[5
]}

Klitgord, Niels ^{[1
,2
]}

Yildirim, Muhammed A. ^{[1
,2
,4
]}

Hao, Tong ^{[1
,2
]}

Hill, David E. ^{[1
,2
]}

Cusick, Michael E. ^{[1
,2
]}

Perrimon, Norbert ^{[2
,3
]}

Roth, Frederick P. ^{[1
,5
]}

Vidal, Marc ^{[1
,2
]}

机构：

[1] Dana Farber Canc Inst, Dept Canc Biol, CCSB, Boston, MA 02115 USA

[2] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA

[3] Howard Hughes Med Inst, Boston, MA 02115 USA

[4] Harvard Univ, Div Engn & Appl Sci, Appl Phys Program, Grad Sch Arts & Sci, Cambridge, MA 02138 USA

[5] Harvard Univ, Sch Med, Dept Biol Chem & Mol Pharmacol, Boston, MA 02115 USA

来源：

PLOS ONE | 2010年 / 5卷 / 08期

基金：

美国国家卫生研究院;

关键词：

PROTEIN-INTERACTION MAP; SACCHAROMYCES-CEREVISIAE; STRESS-RESPONSE; EXPRESSION; IDENTIFICATION; MICROARRAY; NETWORKS; CELLS; MACHINES; SYSTEM;

D O I：

10.1371/journal.pone.0012139

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Predicting gene functions by integrating large-scale biological data remains a challenge for systems biology. Here we present a resource for Drosophila melanogaster gene function predictions. We trained function-specific classifiers to optimize the influence of different biological datasets for each functional category. Our model predicted GO terms and KEGG pathway memberships for Drosophila melanogaster genes with high accuracy, as affirmed by cross-validation, supporting literature evidence, and large-scale RNAi screens. The resulting resource of prioritized associations between Drosophila genes and their potential functions offers a guide for experimental investigations.

引用

页数：11

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