Artificial Intelligence in Medicine
Volume 43, Issue 2 , Pages 99-111 , June 2008

Identification of gene transcript signatures predictive for estrogen receptor and lymph node status using a stepwise forward selection artificial neural network modelling approach

  • Lee J. Lancashire

      Affiliations

    • Clinical and Experimental Pharmacology, Paterson Institute for Cancer Research, University of Manchester, Manchester M20 4BX, United Kingdom
    • The Nottingham Trent University, School of Biomedical and Natural Sciences, Clifton Campus, Clifton Lane, Nottingham NG11 8NS, United Kingdom
    • Corresponding Author InformationCorresponding author at: Clinical and Experimental Pharmacology, Paterson Institute for Cancer Research, University of Manchester, Manchester M20 4BX, United Kingdom. Tel.: +44 161 446 3156; fax: +44 161 446 3109.
    • ,
  • Robert C. Rees

      Affiliations

    • The Nottingham Trent University, School of Biomedical and Natural Sciences, Clifton Campus, Clifton Lane, Nottingham NG11 8NS, United Kingdom
    • ,
  • Graham R. Ball

      Affiliations

    • The Nottingham Trent University, School of Biomedical and Natural Sciences, Clifton Campus, Clifton Lane, Nottingham NG11 8NS, United Kingdom
    • Corresponding Author InformationCorresponding author. Tel.: +44 115 848 3394; fax: +44 115 848 3093.

Received 9 January 2007 ,Revised 29 February 2008 ,Accepted 10 March 2008.

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PII: S0933-3657(08)00029-8

doi: 10.1016/j.artmed.2008.03.001

Artificial Intelligence in Medicine
Volume 43, Issue 2 , Pages 99-111 , June 2008

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