David Brett

Learn More
MOTIVATION Genome-wide functional annotation either by manual or automatic means has raised considerable concerns regarding the accuracy of assignments and the reproducibility of methodologies. In addition, a performance evaluation of automated systems that attempt to tackle sequence analyses rapidly and reproducibly is generally missing. In order to(More)
Attention-deficit hyperactivity disorder (ADHD) is the most prevalent behavioral diagnosis in children, with an estimated 500 000 children affected in the United Kingdom alone. The need for an appropriate and effective intervention for children with ADHD is a growing concern for educators and childcare agencies. This randomized controlled clinical trial(More)
We apply the technique of self-organising maps (Kohonen 1990) to the automated classification of singly periodic astronomical lightcurves. We find that our maps readily distinguish between lightcurve types in both synthetic and real datasets, and that the resulting maps do not depend sensitively on the chosen learning parameters. Automated data analysis(More)
This paper describes our experience developing a mobile, cloud-based weather alert system, which was motivated by the need to overcome the limitations in an existing, centralized severe weather warning system at Vanderbilt University. We faced different design choices, integration challenges and a substantial learning curve in realizing a decentralized,(More)
We present a graphical user interface which facilitates the deenition of anatomical boundaries and landmarks for automated model-based segmentation and analysis using 3D Active Shape Models (ASMs). ASMs provide a statistically-based approach to automatic segmentation which is completely general in terms of both imaging modalities and the anatomical objects(More)
  • 1