计算生物学
仿形(计算机编程)
模块化设计
系统生物学
剧目
计算机科学
数据科学
免疫系统
还原论
生物
比例(比率)
免疫学
认识论
物理
声学
操作系统
哲学
量子力学
作者
Damien Chaussabel,Nicole Baldwin
出处
期刊:Nature Reviews Immunology
[Springer Nature]
日期:2014-03-25
卷期号:14 (4): 271-280
被引量:200
摘要
Individual elements that constitute the immune system have been characterized over the few past decades, mostly through reductionist approaches. The introduction of large-scale profiling platforms has more recently facilitated the assessment of these elements on a global scale. However, the analysis and the interpretation of such large-scale datasets remains a challenge and a barrier for the wider adoption of systems approaches in immunological and clinical studies. In this Innovation article, we describe an analytical strategy that relies on the a priori determination of co-dependent gene sets for a given biological system. Such modular transcriptional repertoires can in turn be used to simplify the analysis and the interpretation of large-scale datasets, and to design targeted immune fingerprinting assays and web applications that will further facilitate the dissemination of systems approaches in immunology.
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