Interactive Visual Analysis on Gene Regulatory Pathways

Dynamic regulatory pathways, estimated using DNA microarray time-series information, provide predictions of dynamic interactions among genes. Even though several analysis methods have been studied, most of them fall short in analyzing or observing these interactions in detail. In contrast to other methods, we have developed a visual approach based on the gene regulatory pathway prediction method [DHN04]. The prediction method applies two different techniques, clustering and an Auto Regressive (AR) model. Even though this approach provides a successful prediction of the dynamic pathways involved in biological processes, it is not easy to analyze the gene interactions. To counteract this, in this paper we designed a visual analysis of gene regulatory pathways. This framework allows the user to easily find the dynamic interactions among genes, highlighting interesting gene information, and showing the detailed annotations of the selected genes. In order to support greater analysis capability, it also provides a simple graph display, a pixel-based gene visualization technique, and a relationdisplaying technique among gene expressions and gene regulatory pathways.