Social networks help to infer causality in the tumor microenvironment
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- 作者：Isaac Crespo ; Marie-Agnès Doucey ; Ioannis Xenarios
- 关键词：Causality ; Network inference ; Social networks ; Tumor microenvironment
- 刊名：BMC Research Notes
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：9
- 期：1
- 全文大小：2,082 KB
- 刊物主题：Biomedicine general; Medicine/Public Health, general; Life Sciences, general;
- 出版者：BioMed Central
- ISSN：1756-0500
文摘
Background Networks have become a popular way to conceptualize a system of interacting elements, such as electronic circuits, social communication, metabolism or gene regulation. Network inference, analysis, and modeling techniques have been developed in different areas of science and technology, such as computer science, mathematics, physics, and biology, with an active interdisciplinary exchange of concepts and approaches. However, some concepts seem to belong to a specific field without a clear transferability to other domains. At the same time, it is increasingly recognized that within some biological systems—such as the tumor microenvironment—where different types of resident and infiltrating cells interact to carry out their functions, the complexity of the system demands a theoretical framework, such as statistical inference, graph analysis and dynamical models, in order to asses and study the information derived from high-throughput experimental technologies.