生物网络
计算机科学
注释
计算生物学
本体论
功能基因组学
基因本体论
相似性(几何)
可视化
数据挖掘
人工智能
基因组学
生物
基因
基因组
遗传学
认识论
图像(数学)
哲学
基因表达
作者
Anastasia Baryshnikova
出处
期刊:Cell systems
[Elsevier]
日期:2016-06-01
卷期号:2 (6): 412-421
被引量:144
标识
DOI:10.1016/j.cels.2016.04.014
摘要
Large-scale biological networks represent relationships between genes, but our understanding of how networks are functionally organized is limited. Here, I describe spatial analysis of functional enrichment (SAFE), a systematic method for annotating biological networks and examining their functional organization. SAFE visualizes the network in 2D space and measures the continuous distribution of functional enrichment across local neighborhoods, producing a list of the associated functions and a map of their relative positioning. I applied SAFE to annotate the Saccharomyces cerevisiae genetic interaction similarity network and protein-protein interaction network with gene ontology terms. SAFE annotations of the genetic network matched manually derived annotations, while taking less than 1% of the time, and proved robust to noise and sensitive to biological signal. Integration of genetic interaction and chemical genomics data using SAFE revealed a link between vesicle-mediate transport and resistance to the anti-cancer drug bortezomib. These results demonstrate the utility of SAFE for examining biological networks and understanding their functional organization.
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