ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis

ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis

Abstract Background 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 re...

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Bibliographic Details
Main Authors: Guohao Zhang, Peter Kochunov, Elliot Hong, Sinead Kelly, Christopher Whelan, Neda Jahanshad, Paul Thompson, Jian Chen
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Bioinformatics
Subjects:
Interactive visualization
Meta-analysis
Effect size
Diffusion tensor imaging
Comparative studies
Online Access:http://link.springer.com/article/10.1186/s12859-017-1634-8

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http://link.springer.com/article/10.1186/s12859-017-1634-8

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