G Ball

Summary

Affiliation: Nottingham Trent University
Country: UK

Publications

  1. ncbi A simpler method of preprocessing MALDI-TOF MS data for differential biomarker analysis: stem cell and melanoma cancer studies
    Dong L Tong
    The John Van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK
    Clin Proteomics 8:14. 2011
  2. ncbi MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neu receptor status in breast cancer
    Aoife J Lowery
    Department of Surgery, Clinical Science Institute, University Hospital National University of Ireland Galway, Galway, Ireland
    Breast Cancer Res 11:R27. 2009
  3. ncbi Identification of Enterobacter sakazakii from closely related species: the use of artificial neural networks in the analysis of biochemical and 16S rDNA data
    Carol Iversen
    The Nottingham Trent University, School of Biomedical and Natural Sciences, Clifton Campus, Clifton Lane, Nottingham, NG11 8NS, UK
    BMC Microbiol 6:28. 2006
  4. ncbi An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers
    G Ball
    Department of Life Sciences, Nottingham Trent University, Clifton Lane, Clifton, Nottingham NG11 8NS, UK
    Bioinformatics 18:395-404. 2002
  5. ncbi Serum biomarker profiling in cancer studies: a question of standardisation?
    B Matharoo-Ball
    The John Van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK
    Vet Comp Oncol 6:224-47. 2008

Collaborators

  • Guorong Li
  • Dong L Tong
  • Aoife J Lowery
  • B Matharoo-Ball
  • Carol Iversen
  • Clare Coveney
  • David J Boocock
  • Sergio Querol
  • Robert Rees
  • Jaimy Saif
  • Susana G Gomez
  • Roisin E McNeill
  • Sabine Schmidt
  • Nicola Miller
  • Vladimir Benes
  • Christophe Lemetre
  • Jonathon Blake
  • Michael J Kerin
  • Amanda Devaney
  • Pamela A Davoren
  • R Rees
  • A K Miles
  • C S Creaser
  • Lee Lancashire
  • Michael Waddington
  • Stephen Forsythe

Detail Information

Publications5

  1. ncbi A simpler method of preprocessing MALDI-TOF MS data for differential biomarker analysis: stem cell and melanoma cancer studies
    Dong L Tong
    The John Van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham, NG11 8NS, UK
    Clin Proteomics 8:14. 2011
    ..abstract:..
  2. ncbi MicroRNA signatures predict oestrogen receptor, progesterone receptor and HER2/neu receptor status in breast cancer
    Aoife J Lowery
    Department of Surgery, Clinical Science Institute, University Hospital National University of Ireland Galway, Galway, Ireland
    Breast Cancer Res 11:R27. 2009
    ....
  3. ncbi Identification of Enterobacter sakazakii from closely related species: the use of artificial neural networks in the analysis of biochemical and 16S rDNA data
    Carol Iversen
    The Nottingham Trent University, School of Biomedical and Natural Sciences, Clifton Campus, Clifton Lane, Nottingham, NG11 8NS, UK
    BMC Microbiol 6:28. 2006
    ..Bacterial species can be difficult to accurately characterise from complex biochemical datasets and computer algorithms can potentially simplify the process...
  4. ncbi An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers
    G Ball
    Department of Life Sciences, Nottingham Trent University, Clifton Lane, Clifton, Nottingham NG11 8NS, UK
    Bioinformatics 18:395-404. 2002
    ..e. diagnostic/prognostic) potential for the field of cancer biology. AVAILIBILITY: Neuroshell 2 is commercially available from ward systems...
  5. ncbi Serum biomarker profiling in cancer studies: a question of standardisation?
    B Matharoo-Ball
    The John Van Geest Cancer Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, UK
    Vet Comp Oncol 6:224-47. 2008
    ....