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...