Browsing Bioinformatics and Computational Biology Group by Issue Date

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Browsing Bioinformatics and Computational Biology Group by Issue Date

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  • 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 ...
  • Ridoux, O.; Ferre, Sebastien (2004)
    Logical Information Systems (LIS) use logic in a uniform way to describe theircontents, to query it, to navigate through it, to analyze it, and to maintain it.They can be given an abstract specification that does not depend ...
  • Ferre, Sebastien; King, Ross Donald (2004)
    BLID (Bio-Logical Intelligent Database) is a bioinformatic system designed to help biologists extract new knowledge from raw genome data by providing high-level facilities for both data browsing and analysis. We describe ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Garrett, Simon; King, Ross Donald; Coghill, George (2004-12-01)
  • Lindon, John C.; Nicholson, Jeremy; Holmes, Elaine; Keun, Hector; Craig, Andrew; Pearce, Jake; Bruce, Stephen; Hardy, Nigel; Sansone, Susanna-Assunta; Antti, Henrick; Jonsson, Par; Daykin, Clare; Navarange, Mahendra; Beger, Richard; Verheij, Elwin R.; Amberg, Alexander; Baunsgaard, Dorrit; Cantor, Glenn; Lehman-McKeeman, Lois; Earll, Mark; Wold, Svante; Johansson, Erik; Haselden, John; Kramer, Kerstin; Thomas, Craig; Lindberg, Johann; Schuppe-Koistinen, Ina; Wilson, Ian; Reily, Michael; Robertson, Donald G.; Senn, Hans; Krotzky, Arno; Kochhar, Sunil; Powell, Jonathan; van der Ouderaa, Frans; Plumb, Robert; Schaefer, Hartmut; Spraul, Manfred (2005)
    The Standard Metabolic Reporting Structures (SMRS) working group outlines its vision for an open,community-driven specification for the standardization and reporting of metabolic studies.
  • 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 ...
  • Garrett, Simon Martin (2005)
    The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then ...
  • 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 ...
  • Rowland, Jeremy John; Broadhurst, David I.; Ellis, David I.; Goodacre, Royston (Wageningen Academic Publishers, 2005)
  • King, Ross Donald; Soldatova, Larisa (2005)
  • Clare, Amanda (Wiley, London, 2005)
  • 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 ...
  • Jenkins, Helen; Johnson, Helen E.; Kular, Baldeep; Wang, Trevor; Hardy, Nigel (2005-05-11)
    Over recent years, a number of initiatives have proposed standard reporting guidelines for functional genomics experiments. Associated with these are data models that may be used as the basis of the design of software tools ...

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