Browsing Cyfrifiadureg / Computer Science by Author "King, Ross Donald"

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  • Byrne, Emma Louise; Liakata, Maria; Whelan, Kenneth Edward; Oliver, Stephen G.; Rowland, Jeremy John; Aubrey, Wayne; Soldatova, Larisa Nikolaevna; Sparkes, Andrew Charles; Young, Michael; Markham, Magdalena; Clare, Amanda Janet; Pir, Pinar; King, Ross Donald (2009-08-21)
    In their 19 June letter ('Machines fall short of revolutionary science,' p. 1515), P. W. Anderson and E. Abrahams, commenting on our work on the automation of science, state that we are 'seriously mistaken about the nature ...
  • 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 ...
  • Marchand-Geneste, N.; Watson, K. A.; Alsberg, B.; King, Ross Donald (2002)
    A key problem in QSAR is the selection of appropriate descriptors to form accurate regression equations for the compounds under study. Inductive logic programming (ILP) algorithms are a class of machine-learning algorithms ...
  • King, Ross Donald; Liakata, Maria; Lu, Chuan; Oliver, Stephen G.; Soldatova, Larisa Nikolaevna (2011-10-07)
    The reuse of scientific knowledge obtained from one investigation in another investigation is basic to the advance of science. Scientific investigations should therefore be recorded in ways that promote the reuse of the ...
  • King, Ross Donald; Garrett, Simon; Coghill, George (Oxford Journals, 2005-01)
    Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models of cells. To do this we require computational formalisms for both simulation (how according to the model the state of the ...
  • King, Ross Donald; Garrett, Simon Martin; Coghill, George (2005-01-12)
    Motivation: Perhaps the greatest challenge of modern biology is to develop accurate in silico models of cells. To do this we require computational formalisms for both simulation (how according to the model the state of the ...
  • 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; Soldatova, Larisa (2006-12-22)
    The formal description of experiments for efficient analysis, annotation and sharing of results is a fundamental part of the practice of science. Ontologies are required to achieve this objective. A few subject-specific ...
  • Soldatova, Larisa; Schierz, Amanda; King, Ross Donald (2007-04)
    The Brookhaven Protein Data Bank was once a pioneering database, but its organization of structural data is now outdated and in need of an upgrade.
  • King, Ross Donald; Ouali, M. (2004)
    Poly-transformation is the extension of the idea of ensemble learning to the transformation step of Knowledge Discovery in Databases (KDD). In poly-transformation multiple transformations of the data are made before learning ...
  • 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 ...
  • Schierz, Amanda; Soldatova, Larisa; King, Ross Donald (2007-08)
  • 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 ...
  • 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 ...
  • King, Ross Donald; Toivonen, H.; Srinivasan, A.; Kramer, S.; Helma, C. (2003)
    Motivation: The development of in silico models to predict chemical carcinogenesis from molecular structure would help greatly to prevent environmentally caused cancers. The Predictive Toxicology Challenge (PTC) competition ...
  • King, Ross Donald; Enot, David (2003)
  • Sparkes, Andrew Charles; Aubrey, Wayne; Byrne, Emma Louise; Clare, Amanda Janet; Khan, Muhammed; Liakata, Maria; Markham, Magdalena; Rowland, Jem; Soldatova, Larisa Nikolaevna; Whelan, Kenneth Edward; Young, Michael; King, Ross Donald (2010-01-04)
    We review the main components of autonomous scientific discovery, and how they lead to the concept of a Robot Scientist. This is a system which uses techniques from artificial intelligence to automate all aspects of the ...
  • King, Ross Donald; Enot, David (2002)
  • King, Ross Donald; Whelan, Ken (2008-02-12)
    Background: A logical model of the known metabolic processes in S. cerevisiae was constructed from iFF708, an existing Flux Balance Analysis (FBA) model, and augmented with information from the KEGG online pathway database. ...

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