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

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

Lignende værker

Artificial intelligence and bladder cancer arrays.
af: Wild, P, et al.
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)

Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression
af: Catto, J, et al.
Udgivet: (2007)

The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression.
af: Catto, J, et al.
Udgivet: (2010)

Artificial intelligence for the prediction bladder cancer
af: Abbod, M, et al.
Udgivet: (2004)

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

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

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

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

Application of artificial intelligence to the management of urological cancer
af: Abbod, MF, et al.
Udgivet: (2007)

Neurofuzzy modeling to determine recurrence risk following radical cystectomy for nonmetastatic urothelial carcinoma of the bladder.
af: Catto, J, et al.
Udgivet: (2009)

Development of a prognostic marker panel in bladder cancer using aberrant promoter methylation
af: Catto, J, et al.
Udgivet: (2007)

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

Less is more: artificial intelligence and gene-expression arrays.
af: Hamdy, F, et al.
Udgivet: (2004)

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
af: Catto, J, et al.
Udgivet: (2010)

Aberrant promoter methylation in pre-malignant and invasive tumours of the urinary bladder
af: Yates, D, et al.
Udgivet: (2005)

Predictive biomarkers in muscle-invasive bladder cancer
af: Walker, A
Udgivet: (2017)

Invasive Intracholecystic Papillary Neoplasm of Gall Bladder with Perforation: A Case Report
af: Patel Ruchik Anilbhai, et al.
Udgivet: (2021-11-01)

Proteomics and immunohistochemistry identify loss of nucleophosmin (B23) expression in bladder transitional cell carcinomas
af: Ahmad, M, et al.
Udgivet: (2003)

Targeting chemotherapy to advanced bladder cancer patients most likely to benefit.
af: Catto, J, et al.
Udgivet: (2010)

Genetic instability and transitional cell carcinoma of the bladder.
af: Catto, J, et al.
Udgivet: (2004)

THE HYPOXIC REGULATION OF FGFR3 IN NON MUSCLE INVASIVE BLADDER CANCER
af: Blick, C, et al.
Udgivet: (2011)

FGFR3 mutations indicate better survival in invasive upper urinary tract and bladder tumours.
af: van Oers, J, et al.
Udgivet: (2009)

Role of Re-Resection in Non–Muscle-Invasive Bladder Cancer
af: Harry W. Herr
Udgivet: (2011-01-01)

Editorial: Identifying novel biomarkers in bladder cancer
af: Thorsten H. Ecke, et al.
Udgivet: (2023-07-01)

Invasive Papillary Breast Carcinoma
af: S.J. Bhosale, et al.
Udgivet: (2010-11-01)

Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy
af: Qianxing Mo, et al.
Udgivet: (2020-12-01)

Metabolomics of Non-muscle Invasive Bladder Cancer: Biomarkers for Early Detection of Bladder Cancer
af: Xiangming Cheng, et al.
Udgivet: (2018-11-01)

Bioinformatics Analysis Identifying Key Biomarkers in Bladder Cancer
af: Chuan Zhang, et al.
Udgivet: (2020-04-01)

Papillary and muscle invasive bladder tumors with distinct genomic stability profiles have different DNA repair fidelity and KU DNA-binding activities.
af: Bentley, J, et al.
Udgivet: (2009)

URINARY MICRORNA IN BLADDER CANCER - A POTENTIAL DIAGNOSTIC TOOL
af: Miah, S, et al.
Udgivet: (2011)

Non-muscle invasive bladder cancer biomarkers beyond morphology
af: Camilla De Carlo, et al.
Udgivet: (2022-08-01)

The Influence of Inverted Growth Pattern on Recurrence for Patients with Non-Invasive Low Grade Papillary Urothelial Carcinoma of Bladder
af: Sehbal Arslankoz, et al.
Udgivet: (2017-10-01)

Invasive papillary carcinoma of the breast
af: Shijing Wang, et al.
Udgivet: (2024-03-01)

Carcinomas in the bladder with papillary and pseudopapillary morphology - not always urothelial
af: Daniel Abensur Athanazio, et al.
Udgivet: (2020-11-01)

Identifying novel biomarkers associated with bladder cancer treatment outcomes
af: Peris R. Castaneda, et al.
Udgivet: (2023-03-01)

Identifying immune-related biomarkers to predict clinical outcomes of neoadjuvant immuno-chemotherapy (nivolumab, gemcitabine and cisplatin) in muscle-invasive bladder cancer (NCT03294304)
af: M. Eckstein, et al.
Udgivet: (2020-07-01)

RNA-seq profiling identified a three-lncRNA panel in serum as potential biomarker for muscle-invasive bladder cancer
af: Xiumei Jiang, et al.
Udgivet: (2024-12-01)

A Short Overview on Therapeutic Biomarkers for Muscle Invasive Bladder Carcinoma
af: Anika Sadaf, et al.
Udgivet: (2023-02-01)