BioVis 2011 Abstract
Visualizing Global Correlation in Large-Scale Molecular Biological Data
In this work, we propose a visualization approach that facilitates exploration and identification of patterns of correlation in biological data. Our method provides a global view of temporal relationships between biological variables and local views of underlying data. This approach empowers researchers to discover global patterns and possible regulatory mechanisms while supporting visual verification of data quality and maintaining confidence in the visualization.
BioVis 2011 Papers and Abstracts
