Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression

Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression

Xehetasun bibliografikoak
Egile Nagusiak:	Wild, P, Catto, J, Abbod, M, Linkens, D, Herr, A, Pilarsky, C, Wissmann, C, Hamdy, F, Hartmann, A
Formatua:	Journal article
Argitaratua:	2007

Antzeko izenburuak

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Artificial intelligence technique for gene expression profiling of urinary bladder cancer
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Artificial intelligence technique for gene expression profiling of urinary bladder cancer
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Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression
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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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FGFR3 mutations indicate better survival in invasive upper urinary tract and bladder tumours.
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Role of Re-Resection in Non–Muscle-Invasive Bladder Cancer
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Invasive papillary carcinoma of the breast
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A Short Overview on Therapeutic Biomarkers for Muscle Invasive Bladder Carcinoma
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