MLCut: exploring multi-level cuts in dendrograms for biological data
Conference Proceeding
Vogogias, A., Kennedy, J., Archambault, D., Anne Smith, V., & Currant, H. (2016)
MLCut: exploring multi-level cuts in dendrograms for biological data. In C. Turkay, & T. Ruan Wan (Eds.), Computer Graphics and Visual Computing (CGVC)https://doi.org/10.2312/cgvc.20161288
Choosing a single similarity threshold for cutting dendrograms is not sufficient for performing hierarchical clustering analysis of heterogeneous data sets. In addition, alter...
Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data
Conference Proceeding
Vogogias, A., Kennedy, J., & Archambault, D. (2016)
Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data. In T. Isenberg, & F. Sadlo (Eds.), EuroVis 2016 - Posters. , (1-3). https://doi.org/10.2312/eurp.20161127
Rigid adherence to pre-specified thresholds and static graphical representations can lead to incorrect decisions on merging of clusters. As an alternative to existing automate...
A Task Taxonomy for Temporal Graph Visualisation
Journal Article
Kerracher, N., Kennedy, J., & Chalmers, K. (2015)
A Task Taxonomy for Temporal Graph Visualisation. IEEE Transactions on Visualization and Computer Graphics, 21(10), 1160-1172. https://doi.org/10.1109/tvcg.2015.2424889
By extending and instantiating an existing formal task framework, we define a task taxonomy and task design space for temporal graph visualisation. We discuss the process invo...
Visualization beyond the desktop--the Next Big Thing.
Journal Article
Roberts, J. C., Ritsos, P. D., Badam, S. K., Brodbeck, D., Kennedy, J., & Elmqvist, N. (2014)
Visualization beyond the desktop--the Next Big Thing. IEEE Computer Graphics and Applications, 34(6), 26-34. https://doi.org/10.1109/MCG.2014.82
Visualization is coming of age. With visual depictions being seamlessly integrated into documents, and data visualization techniques being used to understand increasingly larg...
MaTSE: The microarray time-series explorer
Conference Proceeding
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012)
MaTSE: The microarray time-series explorer. In 2012 IEEE Symposium on Biological Data Visualization (BioVis), (41-48). https://doi.org/10.1109/biovis.2012.6378591
This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory a...
Coordinated parallel views for the exploratory analysis of microarray time-course data.
Conference Proceeding
Craig, P., Kennedy, J., & Cumming, A. (2005)
Coordinated parallel views for the exploratory analysis of microarray time-course data. https://doi.org/10.1109/CMV.2005.5
Microarray time-course data relate to the recorded activity of thousands of genes, in parallel, over multiple discrete points in time during a biological process. Existing tec...
Towards visualising temporal features in large scale microarray time-series data.
Conference Proceeding
Craig, P., Kennedy, J., & Cumming, A. (2002)
Towards visualising temporal features in large scale microarray time-series data. https://doi.org/10.1109/IV.2002.1028809
Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper intr...