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免疫学家的视觉分析:数据压缩与分形分布

Visual analytics for immunologists: Data compression and fractal distributions.

作者信息

Naumova Elena N

机构信息

Department of Public Health and Family Medicine; Tufts University School of Medicine; Boston, MA USA.

出版信息

Self Nonself. 2010 Jul;1(3):241-249. doi: 10.4161/self.1.3.12876. Epub 2010 Jun 30.

Abstract

Visual analytics is the science of analytical reasoning that facilitates research through the use of interactive visual interfaces. New techniques of visual analytics are designed to aid the understanding of complex systems versus traditional blind-context rules to explore massive volumes of interrelated data. Nowhere else is visualization more important in analysis than in the emerging fields of life sciences, where amounts of collected data grow increasingly in exponential rates.The complexity of the immune system in immunology makes visual analytics especially important for understanding how this system works. In this context, our effort should be focused on avoiding accurate but potentially misleading use of visual interfaces. The proposed approach of data compression and visualization that reveal structural and functional features of immune responses enhances systemic and comprehensive description and provides the platform for hypothesis generation. Further, this approach can evolve into a powerful visual-analytical tool for prospective and real-time monitoring and can provide an intuitive and interpretable illustration of vital dynamics that govern immune responses in an individual and populations.The undertaken explorations demonstrate the critical role of novel techniques of visual analytics in stimulating research in immunology and other life sciences and in leading us to understanding of complex biological systems and processes.

摘要

可视分析是一种分析推理科学,它通过使用交互式视觉界面来促进研究。可视分析的新技术旨在帮助理解复杂系统,而不是采用传统的盲目上下文规则来探索大量相互关联的数据。在分析中,可视化在生命科学新兴领域比其他任何地方都更重要,因为在这些领域中收集的数据量正以指数级速度不断增长。免疫学中免疫系统的复杂性使得可视分析对于理解该系统的工作方式尤为重要。在这种情况下,我们应致力于避免对视觉界面进行准确但可能产生误导的使用。所提出的数据压缩和可视化方法能够揭示免疫反应的结构和功能特征,增强系统性和全面性描述,并为假设生成提供平台。此外,这种方法可以发展成为一个强大的可视分析工具,用于前瞻性和实时监测,并能够直观且可解释地展示个体和群体中控制免疫反应的重要动态。所进行的探索表明,可视分析新技术在推动免疫学和其他生命科学研究以及引导我们理解复杂生物系统和过程方面发挥着关键作用。

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