Pattern Browsing and Query Adjustment for the Exploratory Analysis and Cooperative Visualisation of Microarray Time-course Data
Cannon, A. (2010). Pattern Browsing and Query Adjustment for the Exploratory Analysis and Cooperative Visualisation of Microarray Time-course Data. In: Luo, Y. (Ed.) Proceedings of the 7th International Conference on Cooperative Design, Visualisation and Engineering, 6240/2010, () ( ed.). (pp. 199-206). Mallorca, Spain: . Lecture Notes in Computer Science.
This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation component called the ‘pattern browser’ which is used to support the annotation and adjustment of user queries. This includes an explanation of why this component is required and how it can be used with our online pattern repository by biologists collaborating in the analysis of a microarray time-course data set. To conclude we suggest which other types of collaborative visualisation would benefit from the introduction of a component with comparable functionality.
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Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data. Pages of text and numbers are not the most effective way to communicate or understand information.