The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression

Catto, J.W.F., Abbod, M.F., Wild, P.J., Linkens, D.A., Pilarsky, C., Rehman, I., Rosario, D.J., Denzinger, S., Burger, M., Stoehr, R., Knuechel, R., Hartmann, A. and Hamdy, F.C. (2010) The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression. European Urology, 57 (3). pp. 398-406. ISSN 0302-2838

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Authors/Creators:
  • Catto, J.W.F.
  • Abbod, M.F.
  • Wild, P.J.
  • Linkens, D.A.
  • Pilarsky, C.
  • Rehman, I.
  • Rosario, D.J.
  • Denzinger, S.
  • Burger, M.
  • Stoehr, R.
  • Knuechel, R.
  • Hartmann, A.
  • Hamdy, F.C.
Copyright, Publisher and Additional Information: © 2010 Elsevier. This is an author produced version of a paper subsequently published in European Urology. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Artificial intelligence; Gene array; Bladder cancer; Prognosis
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 24 Feb 2010 17:27
Last Modified: 08 Jun 2014 23:26
Published Version: http://dx.doi.org/10.1016/j.eururo.2009.10.029
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.eururo.2009.10.029

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Filename: Catto_10439.pdf

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