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

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

Antzeko izenburuak

Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression
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Artificial intelligence and bladder cancer arrays.
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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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Argitaratua: (2006)

The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression.
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Application of artificial intelligence to the management of urological cancer
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Artificial intelligence for the prediction bladder cancer
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Neurofuzzy modeling to determine recurrence risk following radical cystectomy for nonmetastatic urothelial carcinoma of the bladder.
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Comparative study of intelligent models for the prediction of bladder cancer progression.
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Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
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Less is more: artificial intelligence and gene-expression arrays.
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Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
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Predictive modeling in cancer: where systems biology meets the stock market.
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Development of a prognostic marker panel in bladder cancer using aberrant promoter methylation
nork: Catto, J, et al.
Argitaratua: (2007)

Promoter hypermethylation identifies progression risk in bladder cancer.
nork: Yates, DR, et al.
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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
nork: Catto, J, et al.
Argitaratua: (2010)

The role of genetic instability in the pathogenesis and progression of urothelial carcinoma
nork: Catto, J, et al.
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Multifocal urothelial cancers with the mutator phenotype are of monoclonal origin and require panurothelial treatment for tumor clearance.
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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].
nork: Burger, M, et al.
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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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Behavior of urothelial carcinoma with respect to anatomical location.
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Detection of Muscularis propria Invasion in Urothelial Carcinoma Using Artificial Intelligence
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Epigenetic changes in urothelial cancer: A feature of the invasive phenotype and a novel therapeutic target
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A comparative analysis of the behaviour of urothelial carcinoma with respect to anatomical location
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DNA promoter methylation in urothelial cancer: a feature of the invasive phenotype and a novel therapeutic target
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Evidence for the early onset of aberrant promoter methylation in urothelial carcinoma.
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Immunohistochemical and molecular markers in urothelial carcinoma
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A comparison of the performance of microsatellite and methylation urine analysis for predicting the recurrence of urothelial cell carcinoma, and definition of a set of markers by Bayesian network analysis.
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The Role of Intelligence in Systems Engineering ( ‘Render Unto Caesar the things That are Caesar's’)
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A New Method of Artificial-Intelligence-Based Automatic Identification of Lymphovascular Invasion in Urothelial Carcinomas
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Artificial Intelligence to Predict the BRAF V595E Mutation in Canine Urinary Bladder Urothelial Carcinomas
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Tissue-based molecular markers in upper tract urothelial carcinoma and their prognostic implications
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Phased Antenna Arrays, Software Defined Radio and Artificial Intelligence: Advancing LEO Satellite Communications
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Antibody Arrays Identify Potential Diagnostic Markers of Hepatocellular Carcinoma
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Immunohistochemical markers in predicting behavior of bladder urothelial carcinoma
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Role of Systemic Inflammatory Response Markers in Urothelial Carcinoma
nork: Hyeong Dong Yuk, et al.
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Re: Incidences and Oncological Outcomes of Urothelial Carcinoma in Kidney Transplant Recipients
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