ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis
作者: Guohao ZhangPeter KochunovElliot HongSinead KellyChristopher WhelanNeda JahanshadPaul ThompsonJian Chen
作者单位: 1University of Maryland
2Harvard Medical School
3University of Southern California
4Royal College of Surgeons in Ireland
刊名: BMC Bioinformatics, 2017, Vol.18 (6)
来源数据库: Springer Nature Journal
DOI: 10.1186/s12859-017-1634-8
关键词: Interactive visualizationMeta-analysisEffect sizeDiffusion tensor imagingComparative studies
原始语种摘要: Global scale brain research collaborations such as the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) consortium are beginning to collect data in large quantity and to conduct meta-analyses using uniformed protocols. It becomes strategically important that the results can be communicated among brain scientists effectively. Traditional graphs and charts failed to convey the complex shapes of brain structures which are essential to the understanding of the result statistics from the analyses. These problems could be addressed using interactive visualization strategies that can link those statistics with brain structures in order to provide a better interface to understand brain research results.
全文获取路径: Springer Nature  (合作)
影响因子:3.024 (2012)

  • visualization 目测
  • understand 理解
  • conveying 搬运
  • interactive 相互作用的
  • brain 
  • collect 采集
  • analysis 分析
  • imaging 图像形成
  • effectively 有效地
  • statistics 统计