Analysis of cellular and molecular markers by statistical, artificial neural networks and fuzzy logic-based approaches as an aid in intelligent prognostic decision making in oncology

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dc.contributor.author Seker, H.
dc.contributor.author Sherbet, G. V.
dc.contributor.author Naguib, R. N. G.
dc.date.accessioned 2009-02-26T15:05:31Z
dc.date.available 2009-02-26T15:05:31Z
dc.date.issued 2004
dc.identifier.citation Seker, H., Sherbet, G. and Naguib, R. (2004) Analysis of cellular and molecular markers by statistical, artificial neural networks and fuzzy logic-based approaches as an aid in intelligent prognostic decision making in oncology. In: Recent Research Developments in Cellular Biochemistry, Transworld Research Network, 1, pp 79-97. en
dc.identifier.uri http://hdl.handle.net/2086/942
dc.language.iso en en
dc.title Analysis of cellular and molecular markers by statistical, artificial neural networks and fuzzy logic-based approaches as an aid in intelligent prognostic decision making in oncology en
dc.type Book chapter en
dc.researchgroup Centre for Computational Intelligence
dc.researchgroup Pharmaceutical Technologies


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