Author:
Tommy Dang
Affiliation:
Department of Computer Science, Texas Tech University, Lubbock, Texas, U.S.A.
Keyword(s):
Data Visualization, Parallel Coordinates, Multidimensional Projections, Bar Charts, Bubble Charts, Network Visualization, Bioinformatics, Cancer Prevention.
Abstract:
Data visualization plays an essential role in analyzing bioinformatics as it can provide a holistic view of the data, facilitate high-dimensional biological data analysis, and uncover the latent relations between proteins. However, current methods can not deal with large and complex multidimensional bioinformatics data. This paper explores the novel marriage of data visualization and user interface for analyzing large gene expression data generated under different tested conditions. In particular, we focus on analyzing and visualizing the gene networks of cancer pathways. Although our work focuses on analyzing cancer datasets, our methodology has more general implications for other bioinformatics data sets in a similar setup.