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    Author information
    First name: Tom R.
    Last name: Gaunt
    DBLP: 63/2162
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    Below you find the publications which have been written by this author.

    Show item 1 to 13 of 13  
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    Journal article
    Jie Zheng, Santiago Rodríguez, Charles Laurin, Denis Baird, Lea Trela-Larsen, Mesut A. Erzurumluoglu, Yi Zheng, Jon White, Claudia Giambartolomei, Delilah Zabaneh, Richard Morris, Meena Kumari, Juan P. Casas, Aroon D. Hingorani, David M. Evans, Tom R. Gaunt, Ian N. M. Day.
    HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics.
    Bioinformatics 2017, Volume 33 (0) 2017
    Journal article
    Hashem A. Shihab, Mark F. Rogers, Michael Ferlaino, Colin Campbell, Tom R. Gaunt.
    GTB - an online genome tolerance browser.
    BMC Bioinformatics 2017, Volume 18 (0) 2017
    Conference paper
    Hashem A. Shihab, Mark F. Rogers, Julian Gough, Matthew E. Mort, David N. Cooper, Ian N. M. Day, Tom R. Gaunt, Colin Campbell.
    An integrative approach to predicting the functional effects of non-coding and coding sequence variation.
    Bioinformatics 2015, Volume 31 (0) 2015
    Conference paper
    Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Julian Dorado, Colin Campbell.
    Texture classification using feature selection and kernel-based techniques.
    Soft Comput. 2015, Volume 19 (0) 2015
    Conference paper
    Mark F. Rogers, Colin Campbell, Hashem A. Shihab, Tom R. Gaunt, Matthew E. Mort, David N. Cooper.
    Sequential data selection for predicting the pathogenic effects of sequence variation.
    2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015 2015 (0) 2015
    Conference paper
    José Antonio Seoane Fernández, Ian N. M. Day, Tom R. Gaunt, Colin Campbell.
    A pathway-based data integration framework for prediction of disease progression.
    Bioinformatics 2014, Volume 30 (0) 2014
    Conference paper
    José Antonio Seoane Fernández, Ian N. M. Day, Juan P. Casas, Colin Campbell, Tom R. Gaunt.
    A Random Forest proximity matrix as a new measure for gene annotation.
    22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014 2014 (0) 2014
    Journal article
    José Antonio Seoane Fernández, Colin Campbell, Ian N. M. Day, Juan P. Casas, Tom R. Gaunt.
    Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery.
    PLoS Computational Biology 2014, Volume 10 (0) 2014
    Conference paper
    José Antonio Seoane Fernández, Ian N. M. Day, Colin Campbell, Juan P. Casas, Tom R. Gaunt.
    Using a Random Forest proximity measure for variable importance stratification in genotypic data.
    International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2014, Granada, Spain, April 7-9, 2014. 2014 (0) 2014
    Conference paper
    Hashem A. Shihab, Julian Gough, David N. Cooper, Ian N. M. Day, Tom R. Gaunt.
    Predicting the functional consequences of cancer-associated amino acid substitutions.
    Bioinformatics 2013, Volume 29 (0) 2013
    Conference paper
    Carlos Fernandez-Lozano, José Antonio Seoane Fernández, Marcos Gestal, Tom R. Gaunt, Colin Campbell.
    Texture Classification Using Kernel-Based Techniques.
    Advances in Computational Intelligence - 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I 2013 (0) 2013
    Conference paper
    Tom R. Gaunt, Santiago Rodríguez, Ian N. M. Day.
    Cubic exact solutions for the estimation of pairwise haplotype frequencies: implications for linkage disequilibrium analyses and a web tool 'CubeX'.
    BMC Bioinformatics 2007, Volume 8 (0) 2007
    Conference paper
    Tom R. Gaunt, Santiago Rodríguez, Carlos Zapata, Ian N. M. Day.
    MIDAS: software for analysis and visualisation of interallelic disequilibrium between multiallelic markers.
    BMC Bioinformatics 2006, Volume 7 (0) 2006
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    Your query returned 13 matches in the database.