Browsing Cyfrifiadureg / Computer Science by Author "Clare, Amanda"

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Browsing Cyfrifiadureg / Computer Science by Author "Clare, Amanda"

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  • King, Ross Donald; Wise, P. H.; Clare, Amanda (2004)
    Motivation: A central problem in bioinformatics is the assignment of function to sequenced open reading frames (ORFs). The most common approach is based on inferred homology using a statistically based sequence similarity ...
  • Pir, Pinar; Dobson, Paul D.; Smallbone, Kieran; Mendes, Pedro; King, Ross Donald; Lu, Chuan; Oliver, Stephen G.; Clare, Amanda (2010-10)
    Background: Genome-scale metabolic network models have been widely used for analysing the cellular behaviour of organisms both qualitatively and quantitatively. An iterative semi-automated procedure for model validation ...
  • Clare, Amanda; King, Ross Donald (2003)
    Critics of lazy functional languages contend that the languages are only suitable for toy problems and are not used for real systems. We present an application (PolyFARM) for distributed data mining in relational bioinformatics ...
  • Džeroski, Sašo; Blockeel, Hendrik; Clare, Amanda; Leander, Schietgat; Struyf, Jan (2006)
    Hierarchical multilabel classification (HMC) is a variant of classification where instances may belong to multiple classes organized in a hierarchy. The task is relevant for several application domains. This paper presents ...
  • Clare, Amanda; Džeroski, Sašo; Struyf, Jan; Blockeel, Hendrik (2005)
    This paper investigates how predictive clustering trees can be used to predict gene function in the genome of the yeast Saccharomyces cerevisiae. We consider the MIPS FunCat classification scheme, in which each gene is ...
  • Clare, Amanda; King, Ross Donald (2002)
    We wished to quantify the state-of-the-art of our understanding of clusters in microarray data. To do this we systematically compared the clusters produced on sets of microarray data using a representative set of clustering ...
  • Clare, Amanda (Wiley, London, 2005)
  • Riley, Michael Charles; Clare, Amanda; King, Ross Donald (2007-03-30)
    Background: We are interested in understanding the locational distribution of genes and their functions in genomes, as this distribution has both functional and evolutionary significance. Gene locational distribution is ...
  • Clare, Amanda; King, Ross Donald (2002)
    Motivation: Mutant phenotype growth experiments are an important novel source of functional genomics data which have received little attention in bioinformatics. We applied supervised machine learning to the problem of ...
  • Soldatova, Larisa; Clare, Amanda; Sparkes, Andrew; King, Ross Donald (2006)
    Motivation: A Robot Scientist is a physically implemented robotic system that can automatically carry out cycles of scientific experimentation. We are commissioning a new Robot Scientist designed to investigate gene function ...
  • King, Ross Donald; Clare, Amanda (2003)
    Motivation S. cerevisiae is one of the most important model organisms, and has has been the focus of over a century of study. In spite of these efforts, 40% of its open reading frames (ORFs) remain classified as having ...
  • King, Ross Donald; Whelan, K.; Clare, Amanda; Rowland, Jeremy John (Aberystwyth University, 2005)
    The Robot Scientist Project is a multidisciplinary research project involving expertise from Computer Science and Microbiology, and is one of the projects of the Computational Biology research group at the University of ...
  • Clare, Amanda; Williams, Hugh E.; Lester, Nicholas (2004)
    We propose the new RADAR technique for multi-relational data mining. This permits the mining of very large collections and provides a new technique for discovering multi-relational associations. Results show that RADAR is ...
  • Riley, Michael (Aberystwyth UniversityComputer Science, 2009-03)
    This thesis documents the investigation into the acquisition of knowledge from biological data using computational methods for the discovery of significantly frequent patterns in gene location and phylogeny. Beginning ...

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