UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
Excentric labeling: dynamic neighborhood labeling for data visualization
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Dynamic Queries for Visual Information Seeking
IEEE Software
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Interactive Information Visualization of a Million Items
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Cognitive Effects of Animated Visualization in Exploratory Visual Data Analysis
IV '01 Proceedings of the Fifth International Conference on Information Visualisation
Interactive data visualization using focusing and linking
VIS '91 Proceedings of the 2nd conference on Visualization '91
Dynamic query tools for time series data sets: timebox widgets for interactive exploration
Information Visualization
An Evaluation of Microarray Visualization Tools for Biological Insight
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Coordinated graph and scatter-plot views for the visual exploration of microarray time-series data
INFOVIS'03 Proceedings of the Ninth annual IEEE conference on Information visualization
Visual comparison and exploration of natural history collections
Proceedings of the working conference on Advanced visual interfaces
CDVE'10 Proceedings of the 7th international conference on Cooperative design, visualization, and engineering
User-Centric multimedia information visualization for mobile devices in the ubiquitous environment
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
| Hi-index | 0.00 |
Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multiple stages of a biological process. While this new perspective on biological functioning is recognised as having the potential to have a significant impact on the diagnosis, treatment, and prevention of diseases, it is only through effective analysis of the data produced that biologists can begin to unlock this potential. A significant obstacle to achieving effective analysis of microarray time-course is the combined scale and complexity of the data. This inevitably makes it difficult to reveal certain significant patterns in the data. In particular, it is less dominant patterns and, specifically, patterns that occur over smaller intervals of an experiment's overall time-frame that are more difficult to find. While existing techniques are capable of finding either unexpected patterns of activity over the majority of an experiment's time-frame or expected patterns of activity over smaller intervals of the time-frame, there are no techniques, or combination of techniques, that are suitable for finding unsuspected patterns of activity over smaller intervals. In order to overcome this limitation we have developed the Time-series Explorer, which specifically supports biologists in their attempts to reveal these types of pattern by allowing them to control an animated interval scatter-plot view of their data. This paper discusses aspects of the technique that make such an animated overview viable and describes the results of a user evaluation assessing the practical utility of the technique within the wider context of microarray time-series analysis as a whole.