Edinburgh Napier University

  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 thesis presents an alternative approach where an animated display allows biologists to find these potentially valuable patterns.