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

Bibliografiske detaljer
Main Authors:	Catto, J, Abbod, M, Linkens, D, Wild, P, Herr, A, Pilarsky, C, Wissman, C, Hartmann, A, Hamdy, F
Format:	Conference item
Udgivet:	2007

Lignende værker

Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression
af: Wild, P, et al.
Udgivet: (2007)

Artificial intelligence and bladder cancer arrays.
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Udgivet: (2007)

Artificial intelligence technique for gene expression profiling of urinary bladder cancer
af: Abbod, M, et al.
Udgivet: (2006)

Artificial intelligence technique for gene expression profiling of urinary bladder cancer
af: Abbod, M, et al.
Udgivet: (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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Udgivet: (2009)

Comparative study of intelligent models for the prediction of bladder cancer progression.
af: Abbod, M, et al.
Udgivet: (2006)

Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
af: Catto, J, et al.
Udgivet: (2003)

Less is more: artificial intelligence and gene-expression arrays.
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Udgivet: (2004)

Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
af: Catto, J, et al.
Udgivet: (2006)

Predictive modeling in cancer: where systems biology meets the stock market.
af: Abbod, M, et al.
Udgivet: (2009)

Development of a prognostic marker panel in bladder cancer using aberrant promoter methylation
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Udgivet: (2007)

Promoter hypermethylation identifies progression risk in bladder cancer.
af: Yates, DR, et al.
Udgivet: (2007)

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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Udgivet: (2010)

The role of genetic instability in the pathogenesis and progression of urothelial carcinoma
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Udgivet: (2005)

Multifocal urothelial cancers with the mutator phenotype are of monoclonal origin and require panurothelial treatment for tumor clearance.
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Udgivet: (2006)

[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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Udgivet: (2006)

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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Udgivet: (2006)

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
af: Catto, J, et al.
Udgivet: (2006)

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
af: Simin Torabinezhad, et al.
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Role of Systemic Inflammatory Response Markers in Urothelial Carcinoma
af: Hyeong Dong Yuk, et al.
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Re: Incidences and Oncological Outcomes of Urothelial Carcinoma in Kidney Transplant Recipients
af: Yarkın Kamil Yakupoglu
Udgivet: (2019-09-01)

A review of artificial intelligence strategies in covering array construction
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Savana: Re-using Electronic Health Records with Artificial Intelligence
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Tunable In Situ 3D-Printed PVDF-TrFE Piezoelectric Arrays
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