Browsing Bioinformatics and Computational Biology Group by Title

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  • Liakata, Maria; Teufel, Simone; Siddharthan, Advaith; Batchelor, Colin (2010-05-17)
  • Giagkos, Alexandros; Wilson, Myra S. (2009-08-31)
    The field of robotics relies heavily on various technologies such as mechanical and electronic engineering, computing systems, and wireless communication. The latter plays a significant role in the area of mobile robotics ...
  • 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 ...
  • Hardy, Nigel; Fuell, Helen (Kluwer Academic Publishers, 2002-01-31)
  • 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 ...
  • Ferre, Sebastien; King, Ross Donald (2004-11)
    Abstract. Many application domains make use of specific data structures such as sequences and graphs to represent knowledge. These data structures are ill-fitted to the standard representations used in machine learning and ...
  • King, Ross Donald; Srinivasan, A.; Bain, M. E. (2003-07)
    Inductive Logic Programming (ILP) systems constructmodels for data using domain-specific background information. When using these systems, it is typically assumed that sufficient human expertise is at hand to rule out ...
  • Fiehn, Oliver; Kristal, Bruce; Ommen, Ben van; Sumner, Lloyd W.; Sansone, Susanna-Assunta; Taylor, Chris F.; Hardy, Nigel; Kaddurah-Daouk, Rima (2006-06)
    Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the ...
  • Soldatova, Larisa Nikolaevna; Aubrey, Wayne; King, Ross Donald; Clare, Amanda Janet (2008-07-01)
    Motivation: Many published manuscripts contain experiment protocols which are poorly described or deficient in information. This means that the published results are very hard or impossible to repeat. This problem is being ...
  • Woodward, Andrew M.; Rowland, Jem; Kell, Douglas B. (2004)
    Image registration describes the process of manipulating a distorted version of an image such that its pixels overlay the equivalent pixels in a clean, master or reference image. The need for it has assumed particular ...
  • Sansone, Susanna-Assunta; Rocca-Serra, Philippe; Brandizi, Marco; Brazma, Alvis; Field, Dawn; Fostel, Jennifer; Garrow, Andrew G.; Gilbert, Jack; Goodsaid, Federico; Hardy, Nigel; Jones, Phil; Lister, Allyson; Miller, Michael; Morrison, Norman; Rayner, Tim; Sklyar, Nataliya; Taylor, Chris F.; Tong, Weida; Warner, Guy; Wiemann, Stefan (2008-06-19)
    This article summarizes the motivation for, and the proceedings of, the first ISA-TAB workshop held December 6–8, 2007, at the EBI, Cambridge, UK. This exploratory workshop, organized by members of the Microarray Gene ...
  • King, Ross Donald; Whelan, Kenneth Edward; Jones, Ffion M.; Reiser, Philip G. K.; 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 ...
  • Jones, Andrew R.; Miller, Michael; Aebersold, Ruedi; Apweiler, Rolf; Ball, Catherine A.; Brazma, Alvis; DeGreef, James; Hardy, Nigel; Hermjakob, Henning; Hubbard, Simon J.; Hussey, Peter; Igra, Mark; Jenkins, Helen; Julian Jr, Randall K.; Laursen, Kent; Oliver, Stephen G.; Paton, Norman W.; Sansone, Susanna-Assunta; Sarkans, Ugis; Stoeckert Jr, Christian J.; Taylor, Chris F.; Whetzel, Patricia L.; White, Joseph A.; Spellman, Paul; Pizarro, Angel (2007-10-05)
    The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental ...
  • 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, ...
  • Jenkins, Helen Ann; Beckmann, Manfred; Draper, John; Hardy, Nigel William (Springer, 2007)
  • Pritchard, Leighton; Corne, D.; Kell, Douglas B.; Winson, Mike K.; Rowland, Jeremy John (2005-06-21)
    In this paper, we generalise a previously-described model of the error-prone polymerase chain reaction (PCR) reaction to conditions of arbitrarily variable amplification efficiency and initial population size. Generalisation ...
  • Rowland, Jeremy John (2003)
    EC-based supervised learning has been demonstrated to be an effective approach to forming predictive models in genomics, spectral interpretation, and other problems in modern biology. Longer-established methods such as PLS ...
  • Liakata, Maria; Soldatova, Larisa (Joint Information Systems Committee (JISC), 2008-11-28)
    The guidelines discuss the annotation of General Scientific Concepts (GSCs) in the context of the ART project. The goal of the ART project is to provide an authoring tool to automatically translate scientific papers from ...
  • 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 ...

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