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

Sort by: Order: Results:

  • King, Ross Donald; Whelan, Kenneth Edward; Hoare, Ffion Mair; Reiser, Philip; Bryant, Christopher H.; Muggleton, Stephen H.; Kell, Douglas B.; Oliver, Stephen G. (2004-01-15)
    The question of whether it is possible to automate the scientific process is of both great theoretical interest and increasing practical importance because, in many scientific areas, data are being generated much faster ...
  • King, Ross Donald; Whelan, Kenneth Edward; Hoare, Ffion Mair; Reiser, Philip; Bryant, Christopher H.; Muggleton, Stephen H.; Kell, Douglas B.; Oliver, Stephen G. (2004-01-15)
    The question of whether it is possible to automate the scientific process is of both great theoretical interest and increasing practical importance because, in many scientific areas, data are being generated much faster ...
  • Dobson, Paul D.; Smallbone, Kieran; Jameson, Daniel; Simeonidis, Evangelos; Lanthaler, Karin; Pir, Pınar; Lu, Chuan; Swainston, Neil; Dunn, Warwick B.; Fisher, Paul; Hull, Duncan; Brown, Marie; Oshota, Olusegun; Stanford, Natalie J.; Kell, Douglas B.; King, Ross Donald; Oliver, Stephen G.; Stevens, Robert D.; Mendes, Pedro (2010-10-28)
    Background. To date, several genome-scale network reconstructions have been used to describe the metabolism of the yeast Saccharomyces cerevisiae, each differing in scope and content. The recent community-driven reconstruction, ...
  • Karwath, Andreas; King, Ross Donald (2002-04-23)
    Background: The inference of homology between proteins is a key problem in molecular biology The current best approaches only identify ~50% of homologies (with a false positive rate set at 1/ 1000). Results: We present ...
  • 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; 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 ...
  • King, Ross Donald; Whelan, Ken (2004-09)
    The automation of laboratory techniques has greatly increased the number of experiments that can be carried out in the chemical and biological sciences. Until recently, this automation has focused primarily on improving ...
  • King, Ross Donald; Whelan, Ken (2004-09)
    The automation of laboratory techniques has greatly increased the number of experiments that can be carried out in the chemical and biological sciences. Until recently, this automation has focused primarily on improving ...
  • Lu, Chuan; King, Ross Donald (2009-06-17)
    Motivation: Distribution analysis is one of the most basic forms of statistical analysis. Thanks to improved analytical methods, accurate and extensive quantitative measurements can now be made of the mRNA, protein and ...
  • Garrett, Simon; King, Ross Donald; Coghill, George (2004-12-01)
  • Garrett, Simon; King, Ross Donald; Coghill, George (2004-12-01)
  • King, Ross Donald; Coghill, George; Garrett, Simon (2002)
  • King, Ross Donald; Coghill, George; Garrett, Simon (2002)
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

Search Cadair


Advanced Search

Browse