Greg Dyson

Learn More
An attractive application of expression technologies is to predict drug efficacy or safety using expression data of biomarkers. To evaluate the performance of various classification methods for building predictive models, we applied these methods on six expression datasets. These datasets were from studies using microarray technologies and had either two or(More)
Breast cancer brain metastases remain a significant clinical problem. Chemotherapy is ineffective and a lack of treatment options result in poor patient outcomes. Targeted therapeutics have proven to be highly effective in primary breast cancer, but lack of molecular genomic characterization of metastatic brain tumors is hindering the development of new(More)
Pumps play a significant role in industrial plants and need continuous monitoring to minimize loss of production. This paper investigates the application of Acoustic Emission (AE) for detecting incipient cavitation. In addition this paper presents results from an ongoing programme to ascertain the applicability of the AE technique for determining the best(More)
Markers of the chromosome 9p21 region are regarded as the strongest and most reliably significant genome-wide association study (GWAS) signals for Coronary heart disease (CHD) risk; this was recently confirmed by the CARDIoGRAMplusC4D Consortium meta-analysis. However, while these associations are significant at the population level, they may not be(More)
Clustering methods are typically used to group objects with similar patterns into one of k sets. In the case of gene expression data, genes clustered into the same set tend to have similar expression profiles. However, clustering techniques lack a mechanism to quantify the between-cluster relationship. We propose a method called ICI (Inter-Cluster(More)
  • 1