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Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression

Publication status:: Published

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APA Style

Catto, J., Abbod, M., Linkens, D., Wild, P., Herr, A., Pilarsky, C., Wissman, C., Hartmann, A., & Hamdy, F. (2007). Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression. 177(4), 297–298.

MLA Style

Catto, J, et al. “Artificial Intelligence Re-Analysis of Gene Array Data Identifies Novel Markers of Urothelial Cancer Progression.” vol. 177, no. 4, 2007, pp. 297–98.

Chicago Style

Catto, J, M Abbod, D Linkens, et al. 2007. “Artificial Intelligence Re-Analysis of Gene Array Data Identifies Novel Markers of Urothelial Cancer Progression.” 177 (4): 297–98.
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+ Catto, J More by this author

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+ Abbod, M More by this author

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+ Linkens, D More by this author

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+ Wild, P More by this author

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+ Herr, A More by this author

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Host title:: JOURNAL OF UROLOGY
Volume:: 177
Issue:: 4
Pages:: 297-298
Publication date:: 2007-04-01
ISSN:: 0022-5347

Pubs id:: pubs:120750
UUID:: uuid:1121724f-7cb4-4c99-98d7-14e01b5c7fd5
Local pid:: pubs:120750
Source identifiers:: 120750
Deposit date:: 2012-12-19
ARK identifier:: ark:/29072/ora_1121724f7cb44c9998d714e01b5c7fd5

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Copyright date:: 2007

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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