Advertisement
Research Article

ZODET: Software for the Identification, Analysis and Visualisation of Outlier Genes in Microarray Expression Data

  • Daniel L. Roden mail,

    dlroden@gmail.com

    Affiliation: Division of Medicine, University College London, London, United Kingdom

    Current address: Cancer Research Program and The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia

    X
  • Gavin W. Sewell,

    Affiliation: Division of Medicine, University College London, London, United Kingdom

    X
  • Anna Lobley,

    Affiliation: Division of Medicine, University College London, London, United Kingdom

    X
  • Adam P. Levine,

    Affiliation: Division of Medicine, University College London, London, United Kingdom

    X
  • Andrew M. Smith,

    Affiliation: Division of Medicine, University College London, London, United Kingdom

    X
  • Anthony W. Segal

    Affiliation: Division of Medicine, University College London, London, United Kingdom

    X
  • Published: January 08, 2014
  • DOI: 10.1371/journal.pone.0081123

About the Authors

Daniel L. Roden, Gavin W. Sewell, Anna Lobley, Adam P. Levine, Andrew M. Smith, Anthony W. Segal
Division of Medicine, University College London, London, United Kingdom

Corresponding Author

Email: dlroden@gmail.com

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: AWS AMS GWS DLR AL. Performed the experiments: AMS GWS. Analyzed the data: AMS GWS APL DLR. Contributed reagents/materials/analysis tools: DLR AL. Wrote the paper: DLR AMS.