首页> 外文期刊>Information visualization >GeneTerrain: Visual exploration of differential gene expression profiles organized in native biomolecular interaction networks
【24h】

GeneTerrain: Visual exploration of differential gene expression profiles organized in native biomolecular interaction networks

机译:GeneTerrain:视觉探索天然生物分子相互作用网络中组织的差异基因表达谱

获取原文
获取原文并翻译 | 示例
           

摘要

We propose a new network visualization technique using scattered data interpolation and surface rendering, based upon a foundation layout of a scalar field. Contours of the interpolated surfaces are generated to support multi-scale visual interaction for data exploration. Our framework visualizes quantitative attributes of nodes in a network as a continuous surface by interpolating the scalar field, therefore avoiding scalability issues typical in conventional network visualizations while also maintaining the topological properties of the original network. We applied this technique to the study of a bio-molecular interaction network integrated with gene expression data for Alzheimer's Disease (AD). In this application, differential gene expression profiles obtained from the human brain are rendered for AD patients with differing degrees of severity and compared to healthy individuals. We show that this alternative visualization technique is effective in revealing several types of molecular biomarkers, which are traditionally difficult to detect due to 'noises' in data derived from DNA microarray experiments.
机译:我们基于标量场的基础布局,提出了一种使用分散数据插值和表面渲染的新网络可视化技术。生成内插曲面的轮廓,以支持用于数据探索的多尺度视觉交互。我们的框架通过内插标量场将网络中节点的定量属性可视化为连续表面,因此避免了常规网络可视化中常见的可伸缩性问题,同时还保留了原始网络的拓扑属性。我们将此技术应用于与阿尔茨海默氏病(AD)的基因表达数据整合的生物分子相互作用网络的研究。在本申请中,针对严重程度不同的AD患者绘制了从人脑获得的差异基因表达谱,并与健康个体进行了比较。我们表明,这种替代的可视化技术可以有效地揭示几种类型的分子生物标志物,由于DNA微阵列实验数据中的“噪声”,传统上很难检测到这些分子标志物。

著录项

  • 来源
    《Information visualization》 |2010年第1期|p.1-12|共12页
  • 作者单位

    Department of Computer and Information Science, Purdue University School of Science, Indianapolis, Indiana 46202, USA Center for Bio-computing, Indiana University-Purdue University, Indianapolis, Indiana, USA;

    Department of Computer and Information Science, Purdue University School of Science, Indianapolis, Indiana 46202, USA Center for Bio-computing, Indiana University-Purdue University, Indianapolis, Indiana, USA;

    Department of Computer and Information Science, Purdue University School of Science, Indianapolis, Indiana 46202, USA lndiana University School of Informatics, Indianapolis, Indiana, USA Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA Center for Bio-computing, Indiana University-Purdue University, Indianapolis, Indiana, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    graph and network visualization; bioinformatics visualization; visual analytics;

    机译:图形和网络可视化;生物信息学可视化;视觉分析;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号