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

Bibliografski detalji
Glavni autori:	Wild, P, Catto, J, Abbod, M, Linkens, D, Herr, A, Pilarsky, C, Wissmann, C, Hamdy, F, Hartmann, A
Format:	Journal article
Izdano:	2007

Slični predmeti

Artificial intelligence and bladder cancer arrays.
od: Wild, P, i dr.
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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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Artificial intelligence for the prediction bladder cancer
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Comparative study of intelligent models for the prediction of bladder cancer progression.
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Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
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Promoter hypermethylation identifies progression risk in 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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