Browsing Bioinformatics and Computational Biology Group by Title

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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 ...
  • Hall, Robert D.; Hardy, Nigel W. (Humana Press- Springer, 2012-02-17)
    The technologies being developed for the large-scale, essentially unbiased analysis of the small molecules present in organic extracts made from plant materials are greatly changing our way of thinking about what is possible ...
  • 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 ...
  • Van Calster, Ben; Timmerman, Dirk; Lu, Chuan; Suykens, Johan A. K.; Valentin, Lil; Van Holsbeke, Caroline; Amant, Frédéric; Vergote, Ignace; Van Huffel, Sabine (2007-05)
    Objectives To develop flexible classifiers that predict malignancy in adnexal masses using a large database from nine centers. Methods The database consisted of 1066 patients with at least one persistent adnexal mass for ...
  • Hesketh, A. R.; Chandra, G.; Shaw, Adrian; Rowland, Jem; Kell, Douglas B.; Bibb, M. J.; Chater, K. F. (2002)
    The newly sequenced genome of Streptomyces coelicolor is estimated to encode 7825 theoretical proteins. We have mapped approximately 10% of the theoretical proteome experimentally using two-dimensional gel electrophoresis ...
  • Sumner, Lloyd W.; Amberg, Alexander; Barrett, Dave; Beale, Michael H.; Beger, Richard; Daykin, Clare; Fan, Teresa; Fiehn, Oliver; Goodacre, Royston; Griffin, Julian L.; Hankemeier, Thomas; Hardy, Nigel; Harnly, James; Higashi, Richard; Kopka, Joachim; Lane, Andrew N.; Lindon, John C.; Marriott, Philip; Nicholls, Andrew W.; Reily, Michael D.; Thaden, John J.; Viant, Mark R. (2007-09-01)
    There is a general consensus that supports the need for standardized reporting of metadata or information describing large-scale metabolomics and other functional genomics data sets. Reporting of standard metadata provides ...
  • Rubtsov, Denis V.; Jenkins, Helen; Ludwig, Christian; Easton, John; Viant, Mark R.; Günther, Ulrich; Griffin, Julian L.; Hardy, Nigel (2007-09-01)
    The amount of data generated by NMR-based metabolomic experiments is increasing rapidly. Furthermore, diverse techniques increase the need for informative and comprehensive meta-data. These factors present a challenge in ...
  • Van Holsbeke, Caroline; Van Calster, Ben; Testa, Antonia C.; Domali, Ekaterini; Lu, Chuan; Van Huffel, Sabine; Valentin, Lil; Timmerman, Dirk (2009-01-15)
    PURPOSE: To prospectively test the mathematical models for calculation of the risk of malignancy in adnexal masses that were developed on the International Ovarian Tumor Analysis (IOTA) phase 1 data set on a new data set ...
  • Rowland, Jeremy John; Broadhurst, David I.; Ellis, David I.; Goodacre, Royston (Wageningen Academic Publishers, 2005)
  • Schierz, Amanda; Soldatova, Larisa; King, Ross Donald (2007-08)
  • Lu, C.; Whelan, KE.; King, RD. (European Commission, 2010-05-04)
    One of the objectives in the Unicellsys project is to develop computational tools to automatically modify the metabolic pathway models based on the experimental data and the bioinformatics information available. The machine ...
  • Hardy, Nigel; Jenkins, Helen (Springer, 2007-10-26)
    Metabolomic studies generate large quantities of data. Metabolomics data sets have complex structure and will typically be subjected to a variety of processing and analysis techniques. The data sets are expensive to collect ...
  • Hardy, Nigel; Taylor, Chris F. (2007-09-01)
    This briefing lays out the initial objectives and intent of the Data Exchange Working Group of the Metabolomics Standards Initiative (MSI), which operates under the aegis of the Metabolomics Society. The MSI has now reached ...
  • 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 ...
  • Liakata, Maria (Aberystwyth University, 2009-10-01)
  • Liakata, Maria (Aberystwyth University, 2010-09-13)
  • Liakata, Maria (2010)
    A dissemination website for the findings and outputs of the SAPIENT Automation project and work continuing from there.
  • 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; 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)

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