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

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

Bibliográfalaš dieđut
Váldodahkkit:	Catto, J, Abbod, M, Linkens, D, Wild, P, Herr, A, Pilarsky, C, Wissman, C, Hartmann, A, Hamdy, F
Materiálatiipa:	Conference item
Almmustuhtton:	2007

Geahča maid

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Artificial intelligence technique for gene expression profiling of urinary bladder cancer
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Reply from Authors re: David J. DeGraff. Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward. Eur Urol 2010; 57: 407-8
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Mutation of the FGFR3 oncogene is an independent and favorable prognostic factor for tumor-specific survival in patients with urothelial carcinoma of the upper urinary tract
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Evidence for the early onset of aberrant promoter methylation in urothelial carcinoma.
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