Microarray Time Course Data
Pdf copy of my thesis
'Animated Interval Scatter-plot Views for the Exploratory Analysis of Large Scale Microarray Time-course Data':
Thesis.zip (4.62 mb)
Microarray time-course data relates to the recorded activity of large numbers of genes (~8,000) recorded in parallel over a number of time points (~20). This data contains a massive amount of potentially valuable information. In order to unlock that information, a biologist needs to find patterns of changing activity within variable (normally large) proportions of the data. Established techniques are, however, limited in the quantity and range of valuable patterns that they can allow a biologist to find. For example they cannot uncover patterns such as those where smaller numbers of genes have common activity over an interval of the data. This research presents an alternative approach where an animated display allows biologists to find these potentially valuable patterns.
The type of animated visualisation developed is unique in that it both presents abstract data which has no spatial attributes and maps time in the data to time in the display (to animate across time). This animation is formed by presenting an interval of the data and allowing that interval to be progressively re-specified with the display updated. Here, the perception of spatial motion in the display can be related to changes in the data. This allows the user to pre-attentively perceive patterns in the data and, as the display changes over time, perceive a greater variety of patterns that may be of relevance to their analysis.
The main issue involved in developing the animated visualisation was the need to configure an effective display for frames of an animation using abstract qualities. This had to be effective, revealing enough information for patterns to be detected, and expressive so that meaning could be derived from motion and patterns could be properly interpreted. In addition to this, the interface needed to accommodate the inability of humans to absorb information when it is only presented for a brief time. These issues are dealt with by matching the user’s conceptualisation of changes in the data to motion in the display, giving the user direct control over the pace and direction of the animation, interpolating the data for a smooth animation, and coordinating animated/static views.
New - Visualisierung von Microarray Daten
At the Technical University of Vienna they have a course on information visualisation where the students are required to reproduce a piece of information visualisation software. Heres a link to the student pages for my software: http://www.cg.tuwien.ac.at/courses/InfoVis/HallOfFame/2004/10_MicroArray/
Me in Seattle
I found this photo on the web. It's me preparing for my talk at infovis04 in Seattle. That's me at the podium.
http://pages.cpsc.ucalgary.ca/~yw/pmwiki/
Album/2003%2010%2019-24%20InfoVis%20Seattle/slides/
