Paul Craig

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Microarrays technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multiple stages of a biological process. While this new perspective on biological functioning is recognised as having the potential to have a significant impact on the diagnosis, treatment,(More)
Microarrays are a relatively new, high-throughput data acquisition technology for investigating biological phenomena at the micro-level. One of the more common procedures for microarray experimentation is that of the microarray time-course experiment. The product of microarray time-course experiments is time-series data, which subject to proper analysis has(More)
Current techniques for visualising large-scale microarray data are unable to present temporal features without reducing the number of elements being displayed. This paper introduces a technique that overcomes this problem by combining a novel display technique, which operates over a continuous temporal subset of the time series, with direct manipulation of(More)
Sheth, Vrunda, "Visualization of protein 3D structures in reduced representation with simultaneous display of intra and inter-molecular interactions" (2009). i This thesis is dedicated to my beloved family, to my parents for their never ending encouragement and confidence in me and to my sisters for their motivation and guidance. ii DISSERTATION AUTHOR(More)
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(More)
High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatment, and prevention of diseases. There are however significant challenges to properly exploiting this data due to its massive scale and complexity. In particular, existing techniques are found to be(More)